Data Engineer Level III

Experience in Data modeling and advanced SQL techniques
• Experience working on cloud migration methodologies and processes including tools like Databricks, Azure Data Factory, Azure Functions, and other Azure data services
• Expert in SQL, Python, Spark, Databricks
• Experience working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation
• Experience with DevOps process and understanding of Terraform scripting
• Understanding the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design
• Experience designing and implementing ingestion processes for unstructured and structured data sets
• Experience designing and developing data cleansing routines utilizing standard data operations
• Knowledge of data, master data, metadata related standards, and processes
• Experience working with multi-Terabyte data sets, troubleshooting issues, performance tuning of Spark and SQL queries
• Experience using Azure DevOps/Github actions CI/CD pipelines to deploy code
• Microsoft Azure certifications are a plus
• Minimum of 7 years of hands-on experience working on design, configuration, implementation, and data migration for medium to large sized enterprise data platforms

Required Skills :

Basic Qualification :

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Background Check : Yes


Drug Screen : Yes


Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
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