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Azure Databricks Engineer (Visa Independent candidate only)

TUPPL Technology Inc
Minneapolis, MN Contractor
POSTED ON 5/28/2026
AVAILABLE BEFORE 6/27/2026


Location: - Minneapolis, MN (3-4 days hybrid)
contract

Note : Candidate should have hands-on coding experience in Apache Spark, strong proficiency in Databricks, and proven expertise in designing, developing, and maintaining scalable ETL pipelines.”

Job Summary:
We are looking for a skilled Databricks Engineer with strong hands-on experience in Apache Spark, Azure Databricks, PySpark, and SQL. The ideal candidate will have proven expertise in designing, developing, and maintaining scalable ETL pipelines and working with large-scale data processing systems.

Key Responsibilities:
•             Design, develop, and optimize ETL pipelines using Azure Databricks, PySpark, and SQL
•             Perform hands-on coding in Apache Spark for large-scale data processing and transformation
•             Implement end-to-end data engineering solutions on Azure platform
•             Work with structured and unstructured data across multiple sources
•             Optimize performance and troubleshoot issues in Spark jobs and Databricks workflows
•             Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders
•             Ensure data quality, integrity, and governance across pipelines
•             Develop reusable and scalable data frameworks and best practices

Required Skills:
•             Extensive hands-on coding experience in Apache Spark (PySpark)
•             Strong expertise in Azure Databricks implementation
•             Proficiency in SQL and data transformation techniques
•             Experience in building and maintaining scalable ETL pipelines
•             Good understanding of data warehousing concepts and data modeling
•             Experience working with Azure Data Services (e.g., ADLS, ADF is a plus)
•             Strong problem-solving and analytical skills

Preferred Skills:
•             Experience with CI/CD pipelines and DevOps practices
•             Knowledge of Delta Lake and data lake architecture
•             Familiarity with performance tuning and optimization in Spark
•             Experience working in Agile environments

Salary : $60 - $65

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