Job description Establish and implement best practices for DBT workflows, ensuring efficiency, reliability, and maintainability. Collaborate with data analysts, engineers, and business teams to align data transformations with business needs. Monitor and troubleshoot data pipelines to ensure accuracy and performance. Work with Azure-based cloud technologies to support data storage, transformation, and processing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong MS SQL, Azure Databricks experience Implement and manage data models in DBT, data transformation and alignment with business requirements. Ingest raw, unstructured data into structured datasets to cloud object store. Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting. Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance Preferred technical and professional experience Establish best DBT processes to improve performance, scalability, and reliability. Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Databricks Proven interpersonal skills while contributing to team effort by accomplishing related results as required Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills azure databrickssql queriessql serversqlssis microsoft power bipythonazure data lakessasmicrosoft azurepower bidata warehousingpysparkazure data factoryt-sqlazure logic appsazure functionssql azuresparkssrsazure cosmosdbetlmsbi

Job description Project Role :Data Engineer Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills :Snowflake Data Warehouse, Core Banking, PySpark Good to have skills :AWS BigDataMinimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education Role: Data 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 snowflakepysparkdatabase designdata modelingcore banking hivepythonamazon redshiftdata warehousingwarehouseaws big datadata engineeringsqldata qualitysparkdata governancedesign principleshadoopetlawsbig datadata flowetl process

Job description Project Role :Data Engineer Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills :Snowflake Data Warehouse, Core Banking, PySpark Good to have skills :AWS BigDataMinimum 7.5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. Your role will be pivotal in enhancing the efficiency and reliability of data operations within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processing workflows to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education Role: Data 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 snowflakepysparkdatabase designdata modelingcore banking hivepythonamazon redshiftdata processingdata warehousingwarehouseaws big datadata engineeringsqldata qualitysparkdesign principleshadoopsqoopetlawsbig dataetl process

Job description Project Role :Data Engineer Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills :Snowflake Data Warehouse, Core Banking, PySpark Good to have skills :AWS BigDataMinimum 7.5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Your role will also include troubleshooting data issues and optimizing data workflows to enhance performance and reliability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education Role: Data 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 snowflakepysparkdatabase designdata modelingcore banking hivepythonamazon redshiftdata warehousingwarehouseaws big datadata engineeringsqlplsqldata qualitysparkdesign principleshadoopsqoopetlawsbig dataetl process

Job description Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have skills :Siemens Teamcenter Good to have skills :NAMinimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Siemens Teamcenter.- Strong understanding of application development methodologies.- Experience with software configuration management tools.- Familiarity with integration techniques and APIs.- Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Siemens Teamcenter.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education Role: Back End Developer 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 teamcenterdevelopment methodologiesapplication developmentsiemens teamcenterapi c#csspythoncjspado.netdbmshibernateautocadsoftware configuration managementjquerysql servermicroservicesplsqlspringplmjavaasp.nethtml

Job description In the role of Storage Developer, you would be responsible for designing and development of features for IBM Storage family of storage products, IBM Software Defined Storage portfolio & IBM cloud storage services. You will be owning and driving product functionality as SME and represent it in global product team. You will work with the senior technical leaders and manager in effectively managing the deliverables through technical skills and prior experience. Required education Bachelor's Degree Required technical and professional expertise Required Professional and Technical Expertise : 4+ years of relevant experience of Storage Development. Strong technical skills in storage system architecture. Proven Storage domain knowledge with hands-on experience on storage software stack implementation and features like High availability, storage multi-pathing solutions. Good understanding of storage protocols such as Fibre Channel, FCoE, SCSI, iSCSI, LLDP, SAN, Multipath IO etc. Experience in Algorithms, Data Structures/File Structures Strong skills in Unix/Linux internals – Hands-on in multi-threading, synchronization, interrupt handling & file systems, Kernel programming etc. Strong C, Python, Linux Systems Programmer, Good to have JAVA Skills Understanding of security concepts like encryption, key management, authentications, certificate signing processes, data integrity etc Good problem-solving skills for complex issues with interdependencies across multiple modules Ability to crisply communicate with stake holders (clients and level 3 support teams) for resolving field issues. Proven Debugging, troubleshooting in IO Virtualization environment and problem-solving skills Knowledge and hand-on usage of code and defect management tools. Good written/verbal communication skills to report program status crisply and accurately. Experience working with Global teams. Familiarity with Host OS virtualization (VMware, MS Hyper-V) Ability to go through protocol specifications. Open Shift,OpenStackArchitecture, specificallyCinder, CSI (Kubernetes plugin), vSphere plugin,AnsiblePlugin. Networking. Preferably with Block or any other (File/Object) Storage experience. Understanding of private cloud administration, configuration, analysis etc. Skills: Python, shell scripting, REST API etc. Preferred technical and professional experience Preferred Professional and Technical Expertise : Experience working with Ethernet, Fibre-Channel adapters Experience / Knowledge of block storage replication/concepts Role: Post Silicon Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills linux internalspythoncsystem architectureunix algorithmslinux system programmingjavascsifibre channellinuxdata structuresmultithreadingshell scriptingsanrestkernelvmwareethernetfile interfacesfilingiscsiopenstackfcoelldp

Job description As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements. Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowflake, Statistics, ETL experience. Extensive knowledge on using creating impactful visualization using Tableau. Must have thorough understanding of SQL & advance SQL (Joining & Relationships) Preferred technical and professional experience Must have experience in working with different databases and how to blend & create relationships in Tableau. Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls. Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude. Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills advance sqlsnowflakesqlshell scriptingdatabase queries pythonperformance tuningtalenddbmscloud platformswarehousemachine learningbusiness intelligencepipelineelastic searchtableaudata ingestionsplunketlbig datastatistics

Job description Minimum 3 years of experience in developing applications programs to implement the ETL workflow by creating the ETL jobs, data models in datamarts using Snowflake, DBT, Unix, SQL technologies. Redesign Control M Batch processing for the ETL job build to run efficiently in Production. Study existing system to evaluate effectiveness and developed new system to improve efficiency and workflow. Responsibilities: Perform requirements identification; conduct business program analysis, testing, and system enhancements while providing production support. Developer should have good understanding of working in Agile environment, Good understanding of JIRA, Sharepoint tools. Good written and verbal communication skills are a MUST as the candidate is expected to work directly with client counterpart." Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Responsible to develop triggers, functions, stored procedures to support this effort Assist with impact analysis of changing upstream processes to Data Warehouse and Reporting systems. Assist with design, testing, support, and debugging of new and existing ETL and reporting processes. Perform data profiling and analysis using a variety of tools. Troubleshoot and support production processes. Create and maintain documentation. Role: Data warehouse Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sqletlsnowflakeagileunix hivedata warehousingsharepointplsqlapexsalesforcejavaunix shell scriptingsparkssrshadoopjirapythonoraclepower bimicrosoft azurewarehousesql servertableaussisawsinformatica

Job description Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Cloud Platforms:Proficiency in AWS for managing cloud infrastructure. ContainerizationExpertise in Kubernetes and Docker for container management. CI/CD Tools:Experience with Jenkins for building and deploying pipelines. Deployment Experience on Helm Charts or similar technology for managing Kubernetes applications. Scripting LanguagesProficiency in scripting languages such as Groovy/Python, PowerShell/Bash for automation tasks. Your Profile Experienced DevOps Platform Engineer in designing, implementing, and optimizing DevOps platforms with a strong emphasis on automation, CI/CD pipelines, containerization, and infrastructure as code. The Engineer will work closely with the platform team to analyse the existing DevOps platform, identify gaps, and provide recommendations to enhance efficiency and reliability. Ensuring the implementation of these recommendations aligns with industry best practices is key. What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion. Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills continuous integrationkubernetesci/cddockeraws containerpythonhelm chartscd toolscloud platformshelmansiblecontainerizationgroovydevopspowershelljenkinscloud infrastructurebashci / cd toolsscripting languagesci cd pipeline

Job description In the role of Storage Test Engineer, you would be responsible for Designing test plan, execution of the tests, developing automation for individual product features for IBM Storage family of storage products, IBM Software Defined Storage portfolio & IBM cloud storage services. This role requires 3-8 years of relevant storage industry experience, preferably with prior experience in designing test plan for Storage Software. S/He should have BE in Computer Science and Electronics with proven track record of technical leadership for software development. Should have experience with GoLang/Python, should have experience working with Containers/Openshift/Kubernetes. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5years+ experience with GoLang Experience working with Containers/Openshift/Kubernetes Experience with RHEL/Linux OS/Openshift OS, system configuration, and administration Ability of problem solving and debugging complex code stacks Strong communication skills and ability to work in small teams with testers and developers Experience with continuous integration tools and automation frameworks Preferred technical and professional experience Knowledge of storage or file system concepts (Linux) Experience with Jenkins, Git, Gerrit, Robot Experience in Agile Software Development and Test Experience in kubernetes operator development is plus Experience in Cloud and Infrastructure Role: Back End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills kubernetespythongolanggerritgit containerautomation frameworktechnical leadershipautomation testingopenshiftrhelmanual testingfile systembackend developmentrobotcomputer sciencedesign test planslinuxjenkinsdebuggingagile