Shared jobData Engineer
India · Senior
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HIGH
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First 72 hours
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Skills required
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Job description
- Pipeline Development: Build, test, and maintain scalable ETL (Extract, Transform, Load) pipelines to move data from various sources into centralized storage.
- Data Warehousing: Design and optimize data warehouses, data lakes, and database systems for high performance.
- Data Quality: Implement validation checks, error-handling routines, and monitoring tools to ensure high data integrity and reliability.
- Collaboration: Partner with data analysts and data scientists to understand data needs and deliver clean, analysis-ready datasets.
- Optimization: Fine-tune big data queries, storage structures, and processing workflows to reduce latency and infrastructure costs.
- Security & Governance: Apply security protocols, access controls, and data privacy policies to keep enterprise data safe.
- Bachelor’s degree or Master's degree in CS, IT, EC, Data Engineering, or a related technical field (or equivalent work experience).
- Programming: Strong proficiency in Python, plus expert-level SQL skills.
- Database Knowledge: Experience with relational databases (PostgreSQL, MySQL, SQL Server, etc)
- Big Data & Cloud Tools: Must have AWS knowledge. Familiarity with other cloud platforms (GCP, & Azure) and big data frameworks (Apache Spark).
- ETL: Must have Databricks knowledge. Familiarity with AWS Glue.
- Workflow Automation: Experience with orchestration tools like AWS Lambda, Step Function, Airflow, etc.
- Problem-Solving: Strong analytical mindset with an ability to troubleshoot complex data bottlenecks.
- Minimum 5 years of Relevent Experience.
- Experience of having worked on education project(s) or eGovernance projects at State / Central govt. programs, preferred
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