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Data Engineer II
Meeta Solutions. Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines, ensuring data quality and governance while collaborating effectively across teams. Proficient in advanced SQL, Python, and cloud services for large-scale data processing.
Highest-signal resume keywords
Advanced SQLPython ProgrammingETL/ELT ArchitectureCloud Services (Azure, AWS, GCP)DataOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingHigh-Performance SQL QueriesPySparkData GovernanceData Quality Frameworks
Soft Skills
Problem SolvingCollaborationKnowledge SharingConstructive Feedback Response
Tools & Technologies
Azure Data FactoryAzure SynapseDatabricksGit
Industry Keywords
Data LakeData WarehouseData PipelineData TestingPipeline Orchestration
Tech Stack
Tools & technologiesAWSAzureETLGoogle Cloud PlatformPandasPySparkPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable, reliable data pipelines (ETL/ELT)
- Structure data layers (Data Lake / Data Warehouse: Raw, Trusted, Refined)
- Write high-performance SQL queries and Python/PySpark routines
- Ensure data governance, quality, monitoring, and integrity
- Support peers and junior team members, and translate business needs into technical solutions
- Lead deliveries independently and solve problems under uncertainty
- Collaborate across technical teams and business functions
- Share knowledge with the team and respond constructively to feedback
Requirements
What you’ll need- Bachelor’s degree
- Strong experience with advanced SQL and data modeling
- Proficiency in Python for data applications (Pandas, PySpark, or similar)
- Experience with cloud services (Azure, AWS, or GCP) and large-scale data processing
- Hands-on experience with ETL/ELT architecture, pipeline orchestration, and Git
- Preferred: Azure Data Factory, Synapse, and Databricks
- Experience with DataOps, data testing, and data quality frameworks
- Technical English
Benefits
Comp & perks- Contractor engagement (PJ arrangement)
- Hybrid work
- Full-time position