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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL pipelines and core data infrastructure to power BI and ML initiatives.
Optimize data warehouses, lakes, and queries for performance, cost, and reliability.
Implement data quality checks, security protocols, and collaborate with data scientists and analysts to deliver clean, analysis-ready datasets.
Minimum Requirements
Bachelor's or Master's degree in CS, IT, EC, Data Engineering, or related technical field (or equivalent experience).
Strong proficiency in Python and expert-level SQL skills.
Experience with relational databases (PostgreSQL, MySQL, SQL Server), AWS cloud services, Databricks, and ETL workflow automation tools (AWS Lambda, Step Functions, Airflow).
Minimum 5 years of relevant work experience.
Ideal Candidate Profile
Has experience working on education or eGovernance projects related to State or Central government programs.
Possesses strong troubleshooting and analytical skills for complex data bottlenecks in large-scale data environments.
Expertise operating within AWS and Databricks ecosystems with knowledge of big data frameworks (e.g., Apache Spark) and workflow orchestration.