Data Engineer

5 - 8 years

10 - 18 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description


Role Summary:

We are seeking a Data Engineer with strong expertise in Databricks and large-scale data engineering to design, build, and optimize our data lakehouse solutions. The ideal candidate will be hands-on with PySpark, SQL, Delta Lake, and cloud data platforms, and will play a key role in enabling data-driven decision-making across the organization.

Key Responsibilities

  • Design, develop, and maintain

    scalable ETL/ELT pipelines

    using Databricks and PySpark.
  • Implement and optimize data ingestion from multiple structured and unstructured sources (APIs, databases, streaming data, cloud storage).
  • Build and manage

    Delta Lake

    architectures for data lakehouse solutions.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data sets for analytics and ML models.
  • Ensure

    data quality, governance, and security compliance

    across the data lifecycle.
  • Optimize Databricks workloads for performance, cost efficiency, and scalability.
  • Implement CI/CD pipelines for data engineering workflows using tools like Git, Azure DevOps, or Jenkins.
  • Monitor, troubleshoot, and resolve issues in data pipelines and platform operations.

Skill & Qualification:

  • 5 - 8 years of experience in Data Engineering, with minimum 3+ years in Databricks.
  • Expert in PySpark, SQL, Delta Lake, and advanced Databricks features.
  • Strong experience with at least one cloud platform (Azure, AWS, or GCP) and its data services (e.g., ADF, Glue, BigQuery, Redshift, Synapse).
  • Hands-on experience in ETL/ELT, data modeling, and performance tuning.
  • Proficiency in Git, DevOps practices, and CI/CD workflows.
  • Solid understanding of data security, lineage, and governance frameworks.

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Absolutelabs

Business Consulting and Services

London England

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