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▷ (Apply Now) Lead Engineer

▷ (Apply Now) Lead Engineer

People Prime WorldwideIndia
5 hours ago
Job description

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Lead Data Engineer (L5) – Python & Azure

Job Overview :

We are seeking a highly skilled Lead Data Engineer with deep expertise in

Microsoft Azure data ecosystem to design, develop, and maintain scalable data

pipelines and architectures. The ideal candidate will play a key role in building robust

data solutions that support advanced analytics, BI, and AI workloads across the

organization. This role involves working with cross-functional teams — data scientists,

analysts, and business stakeholders — to ensure high-quality, secure, and performant

data delivery.

Total experience : 10+ years

Key Responsibilities :

1. Data Architecture & Solution Design

  • Architect end-to-end data solutions on Azure, leveraging services like Azure Data

Factory, Azure Databricks, Azure Synapse Analytics, and ADLS Gen2.

  • Design and implement modern data architectures, including Data Lakehouse and
  • Medallion (Bronze–Silver–Gold) architectures.

  • Define standards for data ingestion, transformation, and storage across
  • structured, semi-structured, and unstructured data.

  • Ensure alignment of data solutions with enterprise data strategy, security, and
  • compliance frameworks.

  • Lead proof-of-concept (PoC) and architecture review sessions for new projects.
  • 2. Data Pipeline Development & Optimization

  • Build and maintain scalable, fault-tolerant ETL / ELT pipelines using Azure Data
  • Factory (ADF) and Azure Databricks (PySpark).

  • Implement real-time and batch data ingestion using Azure Event Hubs, Kafka, or
  • Stream Analytics.

  • Manage data transformations and curation layers for consumption by BI, AI / ML,
  • and analytics teams.

  • Apply data partitioning, indexing, caching, and query tuning techniques to
  • optimize performance.

  • Automate data workflows and orchestrations using CI / CD pipelines and
  • infrastructure as code.

    3. Data Governance & Quality Management

  • Establish and enforce data governance standards, including data lineage,
  • metadata, and stewardship.

  • Implement data quality frameworks and validation checks at ingestion and
  • transformation stages.

  • Drive adoption of Azure Purview (or Microsoft Fabric governance) for cataloging
  • and classification.

  • Ensure security and compliance with policies (e.g., GDPR, HIPAA) using Azure
  • RBAC, AAD, and Key Vault.

  • Promote data observability and monitoring practices for proactive issue
  • detection.

    4. Technical Leadership & Team Management

  • Lead a team of data engineers, providing technical guidance, mentorship, and
  • career development.

  • Review and approve solution designs, data models, and code to maintain quality
  • and consistency.

  • Collaborate with data architects, data scientists, and BI teams to align technical
  • priorities.

  • Define best practices, coding standards, and reusable frameworks for the data
  • engineering team.

  • Serve as the technical point of contact for all Azure-related data initiatives.
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