Age relaxation has already been added.
• Develop, deploy and maintain ETL/ELT pipelines connecting 30+ agency data sources to the Data Lake.
• Design and manage data schemas, ingestion connectors and streaming feed integrations.
• Ensure data quality, validation, cleaning and availability for analytics platforms.
• Monitor pipeline performance; optimize storage, processing and data access
• Master's in Computer Science / Data Engineering / IT/ (16 years education).
• Proficiency in ETL tools, SQL, Python or equivalent
Eligibility Criteria
Qualifications
Associate Degree in Computer Science Associate Degree in Information Technology Management BS Computer Science (BSCS)BS Information Technology (BSIT)BS Bridging Computer Science BBA (Information Technology) MBA (Information Technology) MSc Computer Science MS Computer Science (MSCS)MS Information Technology (MSIT)PhD in Computer Science Master of Computer Science (MCS)BE Computer ScienceBE Information TechnologyMSc Information TechnologyBSc Computer ScienceMPhil Computer ScienceBachelor in Computer Science (BCS 3 years)MBA (Information Technology Management)MPhil Information TechnologyMaster of Engineering (Information Technology)Bachelor in Computer Science (BCS 2 years)MSc Information Technology ManagementB.Com Information TechnologyBs Information Technology (Bridging)Master of Information Technology- MITBachelor of Arts - Information Technology - BA(IT)Bachelors of Business and Information Technology (BBIT)Master of Computer Science (Executive) EMCSMS Computer and Information TechnologyBachelors of Computer ScienceMaster of Business and Information Technology (Finance)
Experience
4 Years
Age Limit
Max: 45 years
Application Deadline
29 Jul 2026
13 days left
Don't miss this opportunity! Submit your application before the deadline.