Job description Experience recruiting for roles such as Software Developers, Network Engineers, and Data Analysts. Collaborate with hiring managers to understand IT staffing requirements. Stay updated on the latest IT trends and recruitment best practices. Role: Leadership Recruiter Industry Type: IT Services & Consulting Department: Human Resources Employment Type: Full Time, Permanent Role Category: Recruitment & Talent Acquisition Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Team HandlingIT RECRUITMENT It SourcingTeam ManagementIT StaffingIT HIRINGLeadership SkillsStakeholder Management

Job description Staff Automation Engineer As a Staff Automation Engineer, you will be at the forefront of crafting and implementing innovative IT automation solutions that drive our infrastructure and development processes. You will use your expertise in innovative automation technologies to improve our provisioning, configuration management, image management, secret management, and Continuous Integration/Continuous Deployment (CI/CD) pipelines. This role is critical for ensuring our systems are efficient, scalable, and secure. read more Key Skills UsageApplication testingGCPConfiguration managementdevopsAutomation toolsInfrastructureARMAWSRecruitment

Job description Looking for Snowflake developer for US client, this candidate should be strong with Snowflake & DBT & should be able to do impact analysis on the current ETLs (Informatica/ Data stage) and provide solutions based on the analysis. Exp: 7- 12yrs 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 Key Skills Skills highlighted with ‘‘ are preferred keyskills snowflakeData engineerdbtsnowflake developer

Job description Job Summary We are seeking an experienced Infra. Architect with 10 to 14 years of experience to join our team. The ideal candidate will have extensive expertise in Azure technologies and a strong background in the Process Manufacturing Industry. This role involves designing implementing and managing cloud infrastructure solutions ensuring optimal performance and security. The work model is hybrid with day shifts and no travel requirements. Driving the adoption of DevOps practices, automating processes across the entire software development lifecycle, and improving efficiency and reliability read more Key Skills continuous integrationcdanalyticalazure monitoringmicrosoft azureci/cdrecovery servicesazure migrationazure cloudazure devopsazure infrastructureazure networkingcollaborationazure kubernetesazure app gatewayterraformarmvaultcommunication skills

Job description Must Have: 35 years of hands-on experience as a Data Engineer Ability to work as an individual contributor, delivering features/stories within deadlines and quality standards Strong understanding of the Agile development process Excellent programming skills and proficiency in writing complex SQL queries Fast learner with the ability to grasp new tools and technologies in the data engineering ecosystem Good communication skills and ability to interact with clients directly Technical Skills: Programming Languages: Java / Python Big Data Technologies: Spark / PySpark, Hadoop, Hive, YARN, Oozie Cloud Platforms & Services: Cloud data warehouse: Snowflake AWS: EMR, S3, Lambda, RDS/Aurora Testing Frameworks: JUnit, Mockito, PowerMock Databases / Querying: Proficient in SQL across platforms: MySQL, SQL Server, Oracle, Hadoop, Snowflake Version Control: GitHub Project Management Tools: VSTS (Azure DevOps Boards) Build Tools: Maven / Gradle CI/CD Tools: Azure DevOps Pipelines Added Advantage: Prior experience with end-to-end data pipelines in production environments Familiarity with data modeling, ETL design, and real-time data streaming 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 Key Skills Skills highlighted with ‘‘ are preferred keyskills Data EngineeringPython PysparkJavaAWS

Job description Skills Required: Should have a minimum 3+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and nontechnical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred. Role: Data Engineer Industry Type: Insurance Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Doctorate: Any Doctorate Key Skills Skills highlighted with ‘‘ are preferred keyskills PysparkAWSPythonSQL Data Engineeringdata engineer

Job description Job Overview: We seek a highly skilled and motivated Data Engineer with strong expertise in Python, PySpark, AWS, Databricks, and Snowflake to join our dynamic team. The ideal candidate should have hands-on experience with Spark optimization, SQL data processing, and AWS tools and technologies. Exposure to Informatica and data streaming tools is a plus. Key Responsibilities: Design, develop, and optimize scalable data processing pipelines using Spark and PySpark. Implement Spark optimization techniques to enhance performance and efficiency. Work with complex SQL queries for data manipulation and transformation. Collaborate with data scientists, analysts, and engineering teams to meet data needs. Work on AWS Cloud services like Redshift, AWS Glue, SQL Server, and Databricks. Utilize Python for data processing tasks, ensuring modularization and packaging. Basic knowledge of Informatica. Engage in real-time data streaming and integration using tools such as NiFi, Kafka, and EventHub (optional but preferred). Hands-on experience with Snowflake for data warehousing and analytics. Must Have Experience _ Python, Pyspark, SQL, AWS, Spark Required Skills: Spark Expertise: Strong experience in Spark and PySpark, including optimization techniques. Complex SQL: Advanced SQL knowledge and data processing skills. Cloud Exposure: Familiarity with AWS services and Databricks. Python Proficiency: Experience with Python for data processing and scripting. Data Streaming: Experience with NiFi, Kafka, and EventHub is desirable. Snowflake: Hands-on experience with Snowflake for data warehousing and analytics. Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or related fields. 4-8 years of professional experience in Data Engineering, Data Analytics, or related roles. 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 Key Skills Skills highlighted with ‘‘ are preferred keyskills PysparkSparkAWSPythonSQL SnowflakeKafka

Job description Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world’s leading business travel marketplace. We are proud to be an equal opportunity employer. We embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we’re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. read more Key Skills security managementstaticcyber securitydefencemethodsdocumentationpresentation skillsdastsecurityenvironmentsecurity risk managementdevsecopssoftware engineeringsastazure active directoryapplication security testingcommunication skills