• 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
BS Computer Science (BSCS)BS Data Science BS Information Technology (BSIT)BBA (Information Technology) MBA (Information Technology) MSc Computer Science MS Computer Science (MSCS)MS Information Technology (MSIT)PhD in Information Technology PhD in Computer Science Master of Computer Science (MCS)MS Data ScienceBE Computer ScienceBE Information TechnologyMSc Information TechnologyMPhil Computer ScienceMBA (Information Technology Management)MPhil Information TechnologyMaster of Engineering (Information Technology)MSc Information Technology ManagementMPhil Data ScienceBE Data ScienceMaster of Information Technology- MITBachelors of Business and Information Technology (BBIT)MS Computer and Information TechnologyBachelors of Computer SciencePhD in Data SciencePhD in Data Engineering
Experience
4 Years
Age Limit
40 years
Age Relaxation
General Age Relaxation: 5 years
Application Deadline
29 Jul 2026
4 days left
Don't miss this opportunity! Submit your application before the deadline.