Data Engineer

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.