Associate Process Manager

1 day ago

Mumbai, Maharashtra, India eClerx Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

Role Overview:
We are seeking a Senior Data Engineer with strong developer DNA — someone who codes daily in PySpark, SQL, and Python, builds end-to-end data solutions, and leads design of robust, production-grade data platforms on Microsoft Fabric, Azure Databricks, and ADF. This is a hands-on leadership role for engineers who can think architecturally and code efficiently.

Key Responsibilities:

  • Design, develop, and optimize complex data pipelines and lakehouse architectures.
  • Lead development of batch and streaming ingestion frameworks using ADF, Databricks, and Event Hubs.
  • Write optimized PySpark/SQL transformations for performance, scalability, and cost efficiency.
  • Build reusable data frameworks and automation scripts for continuous integration and deployment.
  • Establish unit testing, code review, and versioning standards across engineering teams.
  • Integrate with DevOps CI/CD pipelines for automated releases and environment management.
  • Mentor junior engineers on coding practices and architecture design.
  • Collaborate with data architects on Fabric-based Lakehouse implementations.

Skills & Qualifications:

  • 6–9 years of strong hands-on experience in data engineering and development.
  • Expertise in:
    • PySpark, SQL, Python, and performance tuning of large-scale transformations.
    • Databricks, ADF, ADLS, Fabric Data Pipelines, and Delta Lake.
  • Deep understanding of data architecture, schema design, job orchestration, and data governance.
  • Strong knowledge of CI/CD (Azure DevOps) and infrastructure-as-code for data pipelines.
  • Optional: Exposure to GCP BigQuery, Dataproc, or Dataflow as secondary platforms.

Preferred Certifications:

  • Databricks Certified Data Engineer Professional
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
  • Optional:Google Cloud Certified – Professional Data Engineer

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