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Jobs or company...

Sr Databrick Engineer

  • Full Time, onsite
  • Hexaware Technologies, Inc
  • Remote, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified

Position: Sr Databrick Engineer

Location: Cleveland, OH or Alpharetta, GA (100% Remote)

Hiring: Fulltime Opportunity

Mostly remote but be open to travel for customer workshops

We are looking for a skilled Sr. Data Engineer /with expertise in Databricks and Unity Catalog to design, implement, and manage scalable data solutions. Top Required skills Databricks and Unity Catalog

Key Responsibilities:

  • Design and implement scalable data pipelinesand ETL workflows using Databricks.
  • Implement Unity Catalogfor data governance, access control, and metadata management across multiple workspaces.
  • Develop Delta Lake architecturesfor optimized data storage and retrieval.
  • Establish best practices for data security, compliance, and lineage trackingin Unity Catalog.
  • Optimize data lakehouse architecturefor performance and cost efficiency.
  • Collaborate with data scientists, engineers, and business teamsto support analytical workloads.
  • Monitor and troubleshoot Databricks clusters, performance tuning, and cost management.
  • Implement data quality frameworksand observability solutions to maintain high data integrity.
  • Work with Azure/AWS/Google Cloud Platform cloud environmentsto deploy and manage data solutions.

Required Skills & Qualifications:

  • 8-19 yearsof experience in data engineering, data architecture, or cloud data solutions.
  • Strong hands-on experience with Databricksand Unity Catalog.
  • Expertise in PySpark, Scala, or SQLfor data processing.
  • Deep understanding of Delta Lake, Lakehouse architecture, and data partitioning strategies.
  • Experience with RBAC, ABAC, and access control mechanismswithin Unity Catalog.
  • Knowledge of data governance, compliance standards (GDPR, HIPAA, etc.), and audit logging.
  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform)and their respective data services.
  • Strong understanding of CI/CD pipelines, DevOps, and Infrastructure as Code (IaC).
  • Experience integrating BI tools (Tableau, Power BI, Looker) and ML frameworksis a plus.
  • Excellent problem-solving, communication, and collaboration skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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