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Azure Data Engineer_Pune_Immediate @ Atyeti

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 Azure Data Engineer_Pune_Immediate

Job Description

We are looking for a skilled and experienced Data Engineer with experience in building scalable data solutions on the Microsoft Azure ecosystem. The ideal candidate must have strong hands-on experience with Azure Databricks, along with Spark, Python and SQL expertise. Familiarity with Data Lake, Data Warehouse concepts, and end-to-end data pipelines is essential.


Key Responsibilities:

  • Lead the design end-to-end data engineering solutions across cloud platforms.
  • Develop and oversee robust data pipelines and ETL workflows using Python and Apache Spark.
  • Implement scalable Delta Lake solutions for structured and semi-structured data.
  • Orchestrate complex workflows using Databricks Workflows or Azure Data Factory.
  • Translate business rules, retention metadata, and data governance policies into reusable, modular, and scalable pipeline components.
  • Ensure adherence to data privacy, security, and compliance standards (e.g., GDPR, HIPAA, etc.).
  • Mentor and guide junior data engineers, fostering best practices in coding, testing, and deployment.
  • Collaborate with cross-functional teams including , analysts, and business stakeholders to align data solutions with business goals.
  • Drive performance optimization, cost-efficiency, and innovation in data engineering practices.

Required Skills & Qualifications:

  • 5+ years of experience in data engineering
  • Expert-level proficiency in Python, Apache Spark, and Delta Lake.
  • Strong experience with Databricks Workflows and/or Azure Data Factory.
  • Deep understanding of data governance, metadata management, and business rule integration.
  • Proven track record in implementing data privacy, security, and regulatory compliance in insurance or financial domains.
  • Strong leadership, communication, and stakeholder management skills.
  • Experience with cloud platforms such as Azure.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Big Data Engineer
Employement Type: Full time

Contact Details:

Company: Atyeti
Location(s): Pune

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Keyskills:   Azure Data Pipeline Databricks Python SQL Pyspark Datafactory

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Atyeti

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