Job description About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within

Job description About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview As a Senior Engineer on the Search Team, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation. You leverage data science in solving complex business problems. You make decisions based on data. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Experience with Search Engines like SOLR and Elastic Search Strong hands-on programming skills in Java, Kotlin, Micronaut, Python, Experience on Pyspark, SQL, Hadoop/Hive is added advantage Experience on streaming systems like Kakfa. Experience on Kafka Streams is added advantage. Experience in MLOps is added advantage Experience in Data Engineering is added advantage Strong analytical thinking skills with an ability to creatively solve business problems, innovating new approaches where required Able to produce reasonable documents/narrative suggesting actionable insights Self-driven and results oriented Strong team player with ability to collaborate effectively across geographies/time zones Know More About Us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills javasoftware engineeringpythonkotlinkafka hivekubernetesscalasearchingpysparkhibernatesqlmicroservicesdockerspringelastic searchsparksolrj2eehadoopbig datahbasemavendata e

Job description Senior Data Engineer India, Bengaluru Get to know Okta Okta is The World s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We re building a world where Identity belongs to you. Senior Data Engineer - Enterprise Data Platform Get to know Data Engineering Okta s Business Operations team is on a mission to accelerate Okta s scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes. Business Operations strives to deliver amazing technology experiences for our employees, and ensure that our offices have all the technology that is needed for the future of work. The Data Engineering team is focused on building platforms and capabilities that are utilized across the organization by sales, marketing, engineering, finance, product, and operations. The ideal candidate will have a strong engineering background with the ability to tie engineering initiatives to business impact. You will be part of a team doing detailed technical designs, development, and implementation of applications using cutting-edge technology stacks. The Senior Data Engineer Opportunity A Senior Data Engineer is responsible for designing, building, and maintaining scalable solutions. This role involves collaborating with data engineers, analysts, scientists and other engineers to ensure data availability, integrity, and security. The ideal candidate will have a strong background in cloud platforms, data warehousing, infrastructure as code, and continuous integration/continuous deployment (CI/CD) practices. What you ll be doing: Design, develop, and maintain scalable data platforms using AWS, Snowflake, dbt, and Databricks. Use Terraform to manage infrastructure as code, ensuring consistent and reproducible environments. Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab. Troubleshoot and resolve issues related to data infrastructure and workflows. Containerize applications and services using Docker to ensure portability and scalability. Conduct vulnerability scans and apply necessary patches to ensure the security and integrity of the data platform. Work with data engineers to design and implement Secure Development Lifecycle practices and security tooling (DAST, SAST, SCA, Secret Scanning) into automated CI/CD pipelines. Ensure data security and compliance with industry standards and regulations. Stay updated with the latest trends and technologies in data engineering and cloud platforms. What we are looking for: BS in Computer Science, Engineering or another quantitative field of study 5+ years in a data engineering role 5+ years experience working with SQL, ETL tools such as Airflow and dbt, with relational and columnar MPP databases like Snowflake or Redshift, hands-on experience with AWS (e.g., S3, Lambda, EMR, EC2, EKS) 2+ years of experience managing CI/CD infrastructures, with strong proficiency in tools like GitHub Actions, Jenkins, ArgoCD, GitLab, or any CI/CD tool to streamline deployment pipelines and ensure efficient software delivery. 2+ years of experience with Java, Python, Go, or similar backend languages. Experience with Terraform for infrastructure as code. Experience with Docker and containerization technologies. Experience working with lakehouse architectures such as Databricks and file formats like Iceberg and Delta Experience in designing, building, and managing complex deployment pipelines. "Th

Job description Senior Salesforce Developer Bengaluru, India Get to know Okta Okta is The World s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We re building a world where Identity belongs to you. We are looking for a Senior Salesforce Developer to join our growing team in Business Technology (BT) and to help scale our business solutions while providing an extra focus on security, enabling Okta to be the most efficient, scalable, and reliable company. In this role, you will be responsible for designing and developing customizations, extensions, configurations, and integrations required to meet the company s strategic business objectives. Candidates will work collaboratively with business stakeholders, business analysts, and engineers on different infrastructure layers, from proposal development to deployment and support. Therefore, a commitment to collaborative problem-solving and delivering high-quality solutions is essential. In addition, your product owner will look to you to provide all technical services design, config, software development, and testing. Qualifications: 3+ years hands-on Salesforce development with solid knowledge of Apex, Process Automation, and Lightning Web Components. 5+ years of Software development experience with experience in Java, Python or Javascript.. Experience implementing various projects/programs for Sales Cloud, Communities, Service Cloud Console, etc. Experience working with source control and continuous integration. Demonstrable ability to drive end-to-end lifecycle, from conception to launch and post-launch support. Solid understanding of developing secure solutions that leverage native Salesforce practices to protect sensitive data. Responsibilities Translate business requirements into well-architected solutions that best leverage the Salesforce platform and products. Provide a detailed level of effort estimates for proposed solutions. Articulate the benefits and risks of a solution s feasibility and functionality. Implement customer-facing and internal-based solutions inside the Salesforce platform using Apex, Lightning Components, and LWC. Implement integration between Salesforce and other external systems. Collaborate with business stakeholders and product managers to find the most suitable solution for their needs. Owning the deliverables from discovery to deployment with appropriate documentation. Create and execute unit, integration, and functional tests. Our team is collaborative, innovative, and flexible, and we consider work-life balance a top priority. What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/ . Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability,

Job description Sr Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Sr Data Analyst for Target s Merch Data Analytics team you ll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years exp Qualification B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.c

Job description Contributing to multiple simultaneous releases Developing test plans and test strategies for multiple releases Identifying testing gaps and provide inputs to improve quality Developing and maintaining automation test suites Reviewing test automation scripts (Golang preferred) Making sure of product\feature quality and delivery timelines Coordinating with dev/test teams across geographies Working with QA architect to maintain and manage Automation test suites read more Key Skills Software testingQuality standardsTeam leadingTest strategyProgrammingManagementJIRAPythonTesting

Job description Ensuring FlashArray product and features ship with the highest quality. Create System test designs that focus on FlashArray Feature Interoperability at Scale, Automate workflows and find high value defects to assure quality of anything we ship. Work with Support and Escalation teams to help reproduce and root cause customer issues Identifying, analyzing, and documenting any defects discovered during testing. Design and build tools that make it efficient to execute and triage a large number of test scripts Deploy a number of customer applications and integrate them to create repeatable workflows to test customer use cases read more Key Skills VMwareAutomationLinuxISCSISolarisWindowsOracleVirtualizationPython

Job description RolePricing General : Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory : Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies. Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools. Should have built pricing tools/raters on Excel. Should have knowledge on Frequency, Severity modelling and Loss cost modelling. Additional good to have requirements: Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable Work experience on GLM modelling - Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage. Screening parameters: Work experience in General Insurance Pricing Knowledge on Pricing - Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8General Insurance Pricing Modelling (Frequency & Severity modelling) using- Emblem/R/SAS/Python Role: Pricing Manager Industry Type: Industrial Equipment / Machinery Department: BFSI, Investments & Trading Employment Type: Full Time, Permanent Role Category: General Insurance Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sqlpythonrvbapricing antennatdsactuarialgstaccountingadvanced exceljiramatlabstdata analysiscsassoftware testingvatbusiness analysislife insuranceimpact analysisradarembedded ctaxationstatistics

Job description RolePricing General :Knowledge of mathematics, probability, statistics and Commercial Insurance business.Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches)Mandatory :Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies.Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools.Should have built pricing tools/raters on Excel.Should have knowledge on Frequency, Severity modelling and Loss cost modelling.Additional good to have requirements:Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macrosKnowledge of ST-8 General Insurance Pricing Actuarial science would be preferableWork experience on GLM modelling - Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage.Screening parameters:Work experience in General Insurance PricingKnowledge on Pricing - Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves)Cleared or appeared for Actuarial Science exam- ST-8General Insurance PricingModelling (Frequency & Severity modelling) using- Emblem/R/SAS/Python Role: Analytics / BI Manager Industry Type: Industrial Equipment / Machinery Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sqlpythonsasvbapricing kubernetescontinuous integrationdata miningactuarialci/cdeksdockeransiblejavadevopslinuxjenkinsstglmmicrosoft azureimpact analysiscontinuous deliveryrradarterraformgeneral insuranceawsstatistics

Job description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Position Overview: As Lead Data Scientist you will join a Data Sciences team responsible for creating highly personalised offers for our Guests. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production. Also, we expect you to guide the ML talent in the team on both algorithms and engineering. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. About You: Preferred MS or PhD in a quantitative field Experience with developing highly distributed ML systems 8+ years of relevant experience in data science, analytics, or applied machine learning, with a strong track record of solving complex business problems through data-driven approaches. Demonstrated ability to translate business problems into analytical solutions, leveraging statistical, machine learning, or optimization techniques to drive business impact. Proven experience in designing, building, and deploying machine learning models and pipelines in production environments at scale. Collaborate cross-functionally with data engineers, product managers, and software engineers to define problem statements, design experiments, and build data solutions that deliver measurable value. Strong programming skills in Python or Java, with hands-on experience using big data technologies such as Hadoop or Spark. Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras is a plus. Ability to communicate complex technical concepts and results clearly to both technical and non-technical stakeholders, using visualizations, dashboards, and storytelling techniques. Proactive and results-oriented, capable of driving projects independently and delivering under tight deadlines. A collaborative team player with experience working across global teams and contributing to a shared vision. Demonstrated experience in mentoring junior data scientists or analysts, fostering a culture of learning and innovation. Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythontensorflowjavadata sciencemachine learning algorithms algorithmsnatural language processingbig data technologiesmachine learningdashboardsartificial intelligencesqldeep learningsparkpytorchkerashadoopdata visualizationml