Senior Azure Data Engineer
eTeam Inc
Job Title: Senior Azure Data Engineer
Location: Redmond, WA 98052
Work Setup: Hybrid
Duration: 12 Months
Experience: 8-10 Years
Job Description
We are looking for an experienced Senior Azure Data Engineer with 8-10 years of experience in data engineering and strong hands-on expertise in Python, SQL, Apache Spark, PySpark, and Azure Databricks .
The candidate will be responsible for developing and supporting scalable data pipelines, transforming large datasets, and optimizing data processing solutions using Azure cloud technologies.
Must Have Skills
Location: Redmond, WA 98052
Work Setup: Hybrid
Duration: 12 Months
Experience: 8-10 Years
Job Description
We are looking for an experienced Senior Azure Data Engineer with 8-10 years of experience in data engineering and strong hands-on expertise in Python, SQL, Apache Spark, PySpark, and Azure Databricks .
The candidate will be responsible for developing and supporting scalable data pipelines, transforming large datasets, and optimizing data processing solutions using Azure cloud technologies.
Must Have Skills
- Strong experience with Python and SQL
- Hands-on experience with Apache Spark, PySpark, and Spark SQL
- Strong experience with Azure Databricks , including:
- Notebooks
- Jobs/Workflows
- Clusters
- Experience with Azure Synapse
- Strong knowledge of Delta Lake
- Experience working with Parquet
- Hands-on experience with ADLS Gen2
- Strong understanding of data engineering and ETL/ELT concepts
- Experience with Scala
- ETL/ELT development
- Experience with MERGE/Upsert operations
- Knowledge of data partitioning and partition pruning
- Strong Spark performance tuning experience
- Experience handling data skew, shuffles, caching, broadcast joins, and partition optimization
- Experience with Git
- Experience with Azure DevOps and CI/CD
- Develop and maintain scalable ETL/ELT data pipelines
- Extract, transform, clean, and load data from various source systems
- Build data solutions using Azure Databricks, Spark, Delta Lake, Synapse, and ADLS Gen2
- Implement MERGE/Upsert logic using Delta Lake
- Design effective partitioning strategies for large datasets
- Optimize Spark jobs for performance and cost
- Manage data skew, shuffles, caching, partitions, and cluster resources
- Collaborate with development and data teams to deliver reliable data solutions
- Follow best practices for Git, Azure DevOps, and CI/CD where applicable
Vacancy posted 3 days ago
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