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Manager EXL / M / 1461817

Manager EXL / M / 1461817

exlnoida, India
19 hours ago
Job description

Job Description

: Data Engineer (Manager Level – Individual Contributor)

Experience : 5–8 years

Location : Noida, UP

Role Type : Individual Contributor (IC)

About the Role

We are seeking a highly skilled Data Engineer with strong Python development expertise and proven experience in building and scaling cloud-based data management platforms . This role requires hands-on expertise in data pipelines, data lakehouse architectures, and Apache Spark , with a strong foundation in metadata and master data management . The ideal candidate will also bring experience in AI-driven analytics and demonstrate the ability to design, optimize, and manage data solutions with a focus on cost efficiency .

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL / ELT processes across Azure-based ecosystems.
  • Develop and optimize data lakehouse solutions leveraging Azure Synapse Analytics, Microsoft Fabric, and Databricks .
  • Estimate and manage cloud resource utilization and costs for data pipelines, ensuring efficiency and cost-effectiveness.
  • Monitor and fine-tune pipelines to balance performance and cost optimization across compute, storage, and data movement.
  • Collaborate with analytics teams to deliver business-ready datasets for reporting and AI-driven use cases.
  • Implement best practices for metadata and master data management , ensuring data lineage, quality, and governance.
  • Develop and support real-time and batch processing frameworks using Apache Spark .
  • Integrate and support visualization solutions using Power BI for business stakeholders.
  • Partner with data science and AI teams to enable AI / ML-powered analytics solutions .
  • Ensure adherence to data security, compliance, and governance standards .

Required Qualifications

  • 5–8 years of hands-on experience as a Data Engineer or similar role.
  • Strong Python coding expertise for data processing and automation.
  • Proven experience with Azure Synapse, Microsoft Fabric, and Databricks in enterprise environments.
  • Hands-on expertise with Apache Spark , distributed data processing, and performance optimization.
  • Experience in cost estimation, monitoring, and optimization of cloud-based pipelines.
  • Proficiency in Power BI and data visualization best practices.
  • Strong knowledge of metadata management, master data management, and data governance frameworks .
  • Exposure to AI-driven analytics and integration with ML / GenAI workflows.
  • Solid understanding of data modeling, data quality, and data integration principles .
  • Preferred Skills

  • Familiarity with CI / CD pipelines for data engineering (Azure DevOps, GitHub Actions, etc.).
  • Experience with API-driven data ingestion and workflow orchestration tools.
  • Knowledge of responsible AI practices and explainability frameworks.
  • Strong problem-solving, communication, and stakeholder management skills.
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