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Location: Remote, Denver, CO
Job Type: Fulltime
Salary Range: $110K to $120K per year (based on experience)
If you are interested, please share your updated resume
Job Description
Role - Azure Data Engineer Databricks
Experience Required - 6+ Years
Must Have Technical/Functional Skills
Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks.
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Implement batch data ingestion and transformations using PySpark and Spark SQL.
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Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake.
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Ensure data quality, reliability, lineage, and governance across the data platform.
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Collaborate with security and platform teams to enforce data access controls and best practices.
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Experience on CI/CD pipelines using Git for Databricks
Roles & Responsibilities
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Act as the onsite lead for Azure Databricks data engineering initiatives.
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Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices.
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Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components.
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Ensure alignment between offshore execution and onsite architecture, security, and business requirements.
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Proactively identify risks, gaps, and improvement opportunities across the data platform.
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Prior experience working in a hybrid onsite–offshore delivery model
Generic Managerial Skills, If any
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6-10 years of hands on experience in data engineering.
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Strong, proven expertise in Azure Databricks and Delta Lake.
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Advanced proficiency in SQL with a solid understanding of distributed data processing concepts.
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Demonstrated experience leading, mentoring, or supervising data engineering teams.
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Strong experience performing code reviews and solution design validations.
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knowledge of data security, and access management (RBAC).
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Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory
Sprachkenntnisse
- English
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