Databricks Engineer Job at Mainz Brady Group, Beaverton, OR

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  • Mainz Brady Group
  • Beaverton, OR

Job Description

NO CTC W2 ONLY!

MUST HAVE DATABROCKS MIGRATION EXPERIENCE!

ONSITE IN BEAVERTON, OREGON 3 DAYS A WEEK!

Responsibilities:

  • Bachelor’s degree or equivalent education, experience, and training in Computer Science.
  • 6+ years of experience in Data Engineering.
  • 4+ years working with Python for data processing, with proficiency in libraries such as Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, SimpleSalesforce, and Json.
  • 3+ years of experience with Data Warehouse technologies, including Databricks and Snowflake.
  • Strong fundamentals in Data Engineering (ETL, modeling, lineage, governance, partitioning & optimization, migration).
  • Expertise in Databricks, including Apache Spark, DB SQL, Delta Lake, Delta Share, Notebooks, Workflows, RBAC, Unity Catalog, Encryption & Compliance.
  • Proficient in SQL, with a focus on performance, stored procedures, triggers, and schema design, and experience with both RDBMS and NoSQL databases like MSSQL/MySQL and DynamoDB/MongoDB/Redis.
  • Cloud platform expertise in AWS and/or Azure.
  • Experience with ETL tools such as Apache Airflow, AWS Glue, Azure Data Factory, Talend, or Alteryx.
  • Strong coding and architectural design pattern knowledge.
  • Passion for troubleshooting, investigation, and root-cause analysis.
  • Excellent written and verbal communication skills.
  • Ability to multitask in a high-energy environment.
  • Familiar with Agile methodologies and tools such as Git, Jenkins, GitLab, Azure DevOps, Jira, and Confluence.

Preferred Skills:

  • Experience with tools like Collibra and Hackolade.
  • Familiarity with data migration strategies and tooling.
  • Experience with data migration tools or custom-built solutions for moving data from Snowflake to Databricks.
  • Experience with testing and validation post-migration, including strategies like checksums, row counts, and query performance benchmarks.

Job Tags

3 days per week,

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