Senior Data Engineer - Databricks Pipelines & Lakehouse

ShyftLabs

United States

Remote

USD 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

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Job summary

ShyftLabs is seeking a Data Engineer to design, build, and operate scalable data pipelines on the Databricks Lakehouse Platform. You will work with Python, PySpark, SQL, and AWS to ingest, transform, and export large data sets, focusing on reliability and performance.

You will collaborate with cross-functional teams to deliver production-ready data solutions, implement Delta Lake schema designs, and optimize Spark workloads, all while maintaining strong data quality and governance practices.

Qualifications

  • Strong expertise in Python, PySpark, and Advanced SQL.
  • Hands-on experience with the Databricks Lakehouse Platform.
  • Experience integrating with REST APIs for data ingestion and export.
  • Knowledge of Delta Lake, Unity Catalog, and Databricks Workflows.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Integrate data from databases, Amazon S3, files, and REST APIs.
  • Build data pipelines with Databricks Unity Catalog.
  • Implement business logic, data transformations, and dimensional models.
  • Create, schedule, monitor, and optimize Databricks Jobs and Workflows.
  • Design and manage Delta Lake tables using Medallion Architecture (Bronze, Silver, Gold).
  • Ensure data quality through validations, error handling, logging, and monitoring.

Job description

ShyftLabs is seeking a Data Engineer to design, build, and operate scalable data pipelines on the Databricks Lakehouse Platform. You will work with Python, PySpark, SQL, and AWS to ingest, transform, and export large data sets, focusing on reliability and performance.

You will collaborate with cross-functional teams to deliver production-ready data solutions, implement Delta Lake schema designs, and optimize Spark workloads, all while maintaining strong data quality and governance practices.

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