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Data Engineer Level 2
2 months ago
- SQL, Python, Spark, Databricks
- Working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation
- DevOps process and Terraform scripting
- Leadership skills: must be able to put together and deliver presentation.
- Solid communication while working with PMO. Must be able to translate what product is asking for and regurgitate to team.
Requirements:
- 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
Core Technologies:
- Azure Functions
- Python
- SQL Server
- Azure Data Factory
- Azure Databricks
- Terraform
- Azure DevOps
- GitHub / GitHub Actions
- T-SQL and SQL stored procedures
- Azure Log Analytics
- Azure Data Lake Storage
- Azure Synapse
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate's qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.