Sr. Data Engineer - Databricks / SQL / ADF
Keypixel Software Solutions
Eden Prairie, MN, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Query Performance
Microsoft Azure
Information Engineering
Extract Transform Load (ETL)
Data Transformation
Data Warehousing
Dimensional Modeling
Microsoft SQL Server
SQL Azure
Standard Sql
SQL Databases
Transact-SQL
+4 more
Apache Spark
Pyspark
Data Analytics
Databricks
Job description
- Develop and maintain data pipelines using Databricks, Apache Spark, and SQL
- Design and implement ETL/ELT processes for data transformation and loading
- Work closely with stakeholders to understand data requirements and deliver solutions
- Optimize query performance and ensure data quality and integrity
- Collaborate with cross-functional teams to support data analytics and reporting
- Stay current on industry trends and best practices in data engineering
Requirements
We are seeking a highly skilled Senior Data Engineer with expertise in Databricks, SQL, and ADF to join our team in Eden Prairie, MN. The ideal candidate will have 12+ years of experience in data engineering and a strong background in data warehousing and optimization., * Experience with SQL Server, Azure SQL, and advanced T-SQL
- Proficiency in Databricks, Apache Spark, PySpark, and ADF
- Knowledge of data warehousing concepts and dimensional modeling
- Hands-on experience with SCD (Slowly Changing Dimensions) and ETL/ELT processes
- Familiarity with Azure Cloud services
- Ability to tune queries and optimize performance
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