Data Engineer

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