Data Engineer
- Posted
- Employment
- full time
- Work mode
- onsite
Skills explicitly mentioned: Data Engineering, Python, SQL, Data Platforms
Essential : § B.E / B. Tech in Computer Science/IT/ or Masters in Computer Application(MCA) § Minimum 60 % marks Minimum 3 Years work experience in Big Data/Cloud Computing/ Data Engineering/ Analytics related projects. Desirable: § Certification in Big Data/Data Science/Cloud Computing or equivalent. Role: Data Engineering & Quality Management : Design, implementation, and management of data platform, data pipelines to help fulfill data access and aggregation functionality for users in cloud environment. Develop and Maintain Data Pipelines: Design, build, and manage scalable data pipelines for data extraction, transformation, and loading (ETL). • Data Integration: Integrate data from various sources, ensuring data quality and consistency. • Optimize Data Systems: Identify and implement process improvements to enhance data reliability, efficiency, and quality. • Collaborate with Teams: Work with data scientists, analysts, and other stakeholders to support their data infrastructure needs. • Monitor and Troubleshoot: Monitor data pipelines and systems, troubleshoot issues, and ensure data integrity. • Documentation: Maintain comprehensive documentation of data processes and systems. Technical/ Functional: • Experience: 3-5 years of experience in data engineering or a related field. • Technical Skills: Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks. • Storage Management: Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc. § Good knowledge next generation ETL/ELT tools and data consolidation frameworks that enable capabilities within the data ecosystem. § Ability to work independently or within a team, proactively, in a fast-paced AGILE-SCRUM environment. Desired but not essential : § Experience in IoT time series data domain § Exposure to automotive data. Behavioral § Effective team player. § Study industry trends (global and domestic) and apply it in work-area. § Co-ordinate department activities and represent department / MSIL in forums. Good communication and presentation skills. Search Keywords · Data Engineer · Databricks · PySpark · Python · SQL · Process Automation · Data Visualization · Database Management · Warehousing · IOT · Databricks · AWS