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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.

Experience in IoT time series data domain. Ability to work independently or within a team, proactively, in a fast-paced AGILE-SCRUM workplace.

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.

📌 Data Engineer (Gurugram)
🏢 Maruti Suzuki
📍 Gurugram