Associate Process Manager

4 weeks ago


Pune, India eClerx Investments Ltd Full time

Job 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: - 69 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. - 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) - Google Cloud Certified Professional Data Engineer



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