Data Engineer (Databricks, Hadoop)

3 - 5 years

2 - 5 Lacs

Posted:1 month ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Engineer, you will leverage Databricks and Hadoop ecosystems to build robust and efficient data pipelines, enable real-time analytics, and deliver data-driven solutions. You will collaborate closely with cross-functional teams to support data processing, model development, and infrastructure projects.

Key Responsibilities

  • Design, implement, and optimize scalable data pipelines using Databricks and Hadoop.
  • Leverage Databricks for big data processing and cloud-based analytics, ensuring high-performance, reliability, and cost-effectiveness.
  • Develop and maintain data models and ETL (Extract, Transform, Load) processes to streamline data ingestion from multiple sources.
  • Optimize Hadoop clusters (via tools like Hive, Pig, HBase) for high-volume, distributed data processing.
  • Ensure data quality, consistency, and integrity in the systems.
  • Collaborate with data scientists and analysts to build machine learning models and deploy data-driven solutions.
  • Troubleshoot and resolve performance issues related to data workflows and pipelines.
  • Work with cloud platforms (AWS, Azure, GCP) to integrate Databricks and Hadoop with cloud-based infrastructure.
  • Automate and optimize recurring data workflows to improve overall efficiency.
  • Maintain documentation and reports on system configurations, processes, and best practices.

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