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Tech Stack
Tools & technologiesAzureCloudDistributed SystemsETLSQL
About the role
Key responsibilities & impact- Build and maintain scalable data pipelines for structured (CSV) data ingestion
- Build and optimize pipelines for data lakes and warehouses (Azure Data Lake, Synapse)
- Develop and maintain REST API integrations and system connectors
- Implement data validation, integrity, and deduplication processes
- Work closely with engineers to align data & application architecture
- Help shape cloud and data architecture decisions
Requirements
What you’ll need- 4+ years in Data Engineering / Backend Data Systems
- Must have experience with : SQL Server & relational databases
- Azure Data Stack (Data Lake, Synapse)
- Must have experience using Azure Data Factory ETL/ELT pipeline development
- Experience with APIs, distributed systems, and data platforms
- Familiarity with Power BI or similar tools
- Solid understanding of Agile, CI/CD, version control
Benefits
Comp & perks- Employee benefits packages
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata ingestionREST APIdata validationdeduplicationSQL Serverrelational databasesAzure Data LakeAzure SynapseAzure Data Factory
Soft Skills
collaborationcommunicationproblem-solvingalignmentdecision-making
