Data Engineer

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Job Role & Responsibilities

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.

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Competency Requirements

Technical/ Functional:
Experience: Minimum 5 years of experience in data engineering or a related field.

Minimum 3 years of experience in Databricks platform.

Technical Skills: Proficiency in Py-Spark (Must Have), SQL, and Python.

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.

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Experience in IoT time series data domain.

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Ability to work independently or within a team, proactively, in a fast-paced AGILE-SCRUM environment.

Desired but not essential

:

§ 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.