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Key Responsibilities

The successful candidate will design, develop, and maintain data pipelines and ETL processes on Databricks.

  • Lead the architecture and implementation of scalable, secure, and high-performance data solutions.
  • Collaborate with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.
  • Optimize data workflows for performance, cost-efficiency, and reliability.

Our ideal candidate will integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.

They will implement best practices in data governance, security, and quality management.

Additionally, they will mentor junior engineers and provide technical leadership in data engineering best practices.

Required Skills & Experience

We are seeking a highly skilled Data Engineer with the following qualifications:

  • 7+ years of experience in Data Engineering.
  • Proven Subject Matter Expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
  • Strong experience with PySpark, Spark SQL, and Scala.
  • Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus).

The successful candidate will also have a solid understanding of big data ecosystems (Hadoop, Kafka, etc.).