Perform data engineering tasks, including data modeling, data pipeline development, and cube development
Work with relational databases, including schema design, queries, views, store procedures, and performance optimization
Data governance and master data management
Build data pipelines that execute ETL/ELT processes to move and integrate data between data sources
Conduct DevOps activities, including code reviews, testing, alerting, documenting, retrospectives, incident analysis
Work with Azure's core data and analysis services, including Data Factory, Synapse Analytics, Data Explorer, Power BI, etc.
Build data warehouses, including the use of ETL/ELT, SQL, Data Lake, Spark, Azure Synapse, Databricks, tabular cubes.

Requirements

Bachelor’s degree in Computer Science or a related field
Coursework in object‑oriented programming, system architecture, computer networks, advanced data structures, and computer and network security
Willingness to travel and relocate as needed.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata modelingdata pipeline developmentETLELTSQLdata governancemaster data managementperformance optimizationobject-oriented programming

Soft Skills

communicationcollaborationproblem-solvingattention to detailadaptability