
- Growth StageExpanding market presence
- Growing fastShowed strong hiring growth in the past month
Data Engineer - MSIL
- ₹11L – ₹15L • No equity
- |Delhi •
- |4 years of exp
- |Full Time
About the job
Functional Reporting
Functional reporting : Group leader
Administrative reporting : DPM
LOCATION Gurugram, Haryana
i) Educational Qualification
*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
ii) Experience
Minimum: 5 Year(s) , Maximum: 8 Year(s)
Job Role & Responsibilities
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 Competencies :
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 competencies :
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.
About the company
- Growth StageExpanding market presence
- Growing fastShowed strong hiring growth in the past month
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