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Job Description
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.
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