Location: US
Experience: 7+ Years
Cloud: Microsoft Azure
Job Summary
Seeking a hands-on Data Engineer / FDE with strong Python, PySpark, SQL, Azure Databricks, ADLS, and ADF experience. The role combines data engineering, customer-facing problem solving, prototyping, and production delivery.
Key Responsibilities
- Partner with business and technical stakeholders to solve complex data problems.
- Build scalable pipelines using Python, PySpark, SQL, and Databricks.
- Develop ingestion, transformation, and data processing solutions.
- Implement Lakehouse / Delta Lake architectures.
- Build APIs and enterprise data integrations.
- Develop POCs and production-ready solutions.
- Perform data profiling, validation, reconciliation, and troubleshooting.
- Optimize Spark workloads and support CI/CD, monitoring, and production operations.
Required Qualifications
- 7+ years of Data / Software Engineering experience.
- Strong Python, PySpark/Spark, and SQL.
- Hands-on Azure Databricks, ADLS Gen2, and Azure Data Factory.
- Strong ETL/ELT and data pipeline development.
- Delta Lake / Lakehouse experience.
- Data modeling and integration.
- REST APIs and service integration.
- Git and CI/CD.
- Strong stakeholder-facing and problem-solving skills.
Primary Skills
Python, PySpark, SQL, Azure Databricks, ADLS Gen2, Azure Data Factory, Delta Lake, Lakehouse, ETL/ELT, Data Pipelines, REST APIs, Git, CI/CD
One-Line Search Summary
Data Engineer FDE Azure Databricks Python PySpark SQL ADLS ADF Delta Lake Lakehouse ETL REST APIs CI/CD