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▷ Apply in 3 Minutes : Lead Data Engineer

▷ Apply in 3 Minutes : Lead Data Engineer

People Prime WorldwideIndia
9 hours ago
Job description

About the Company

Our client is a global digital transformation leader with a presence in over 50 countries. Specializing in Oracle Cloud, automation, data intelligence, and enterprise consulting, they help businesses modernize their systems and accelerate innovation at scale.

Job Description

Job Title : Lead Engineer

Experience : 10+ Years

Location : Hyderabad

Job Type : [Full-time ]

Job Summary :

We’re looking for a Lead Data Engineer with deep expertise in the Microsoft Azure data ecosystem to architect, build, and optimize scalable data platforms. This role is ideal for a seasoned professional who thrives on designing modern data architectures and leading high-performing teams to deliver business-driven analytics and AI solutions.

Key Responsibilities

1. Data Architecture & Solution Design

  • Architect end-to-end data solutions using Azure Data Factory, Databricks, Synapse Analytics, and ADLS Gen2.
  • Design and implement modern Data Lakehouse and Medallion (Bronze–Silver–Gold) architectures.
  • Define data ingestion, transformation, and storage standards for all data types.
  • Align solutions with enterprise data strategy, governance, and security frameworks.
  • Lead proof-of-concepts and architecture reviews for new initiatives.

2. Data Pipeline Development & Optimization

  • Build and maintain robust, scalable ETL / ELT pipelines using ADF and Databricks (PySpark).
  • Implement real-time and batch data ingestion with Azure Event Hubs, Kafka, or Stream Analytics.
  • Optimize data transformations, partitioning, indexing, and query performance.
  • Automate workflows using CI / CD and Infrastructure-as-Code (IaC) practices.
  • 3. Data Governance & Quality Management

  • Establish and enforce governance standards : lineage, metadata, and stewardship.
  • Implement data quality checks at ingestion and transformation stages.
  • Utilize Azure Purview or Microsoft Fabric for data cataloging and compliance.
  • Ensure data security and regulatory compliance (GDPR, HIPAA, etc.).
  • 4. Technical Leadership & Team Management

  • Lead and mentor a team of data engineers.
  • Review architecture, code, and data models for quality and consistency.
  • Define and promote best practices, reusable frameworks, and standards.
  • Serve as the technical authority for Azure data initiatives.
  • 5. Collaboration & Business Alignment

  • Work closely with data scientists, BI teams, and business stakeholders.
  • Translate business needs into scalable technical solutions.
  • Optimize data workloads for cost, performance, and scalability.
  • Communicate technical concepts clearly to non-technical audiences.
  • Core Technical Skills

  • Azure Services : Data Factory, Databricks (PySpark, Delta Lake), Synapse Analytics, ADLS Gen2, Event Hubs / Kafka, Purview / Microsoft Fabric, Azure Functions, Logic Apps.
  • Languages : Python (mandatory), SQL, Scala.
  • Frameworks & Tools : PySpark, Pandas, dbt (optional), Git / GitHub, Azure DevOps, Terraform / Bicep / ARM.
  • Data Modeling : Star / Snowflake schema, Data Vault 2.0, dimensional modeling.
  • Databases : Azure SQL DB, Cosmos DB, PostgreSQL, SAP / Oracle integrations.
  • Integrations : Power BI, Azure ML, external BI / AI systems.
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    Lead Data Engineer • India

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