Data Engineer

Bengaluru, Karnataka, India
Full Time
Mid Level

Job Title: Data Engineer

Experience: 3–5 Years
Location: Remote

Only CV matching with JD will be Shortlisted


Role Purpose

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.


Key Responsibilities

  • Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF)
  • Work with Azure Data Lake Storage (ADLS) for data ingestion, storage, and processing
  • Build and optimize data transformations using PySpark and SQL
  • Integrate data from multiple structured and unstructured sources
  • Ensure data quality, integrity, and consistency across pipelines
  • Support implementation of Lakehouse architecture and Medallion (Bronze, Silver, Gold) layers
  • Collaborate with analysts and BI teams to enable reporting and data models
  • Monitor, troubleshoot, and resolve data pipeline issues
  • Document data processes, workflows, and pipeline logic

Required Skills & Experience (3–5 Years)

  • Hands-on experience with Azure Data Factory (ADF) and ADLS
  • Strong programming skills in PySpark and SQL
  • Experience in building and maintaining ETL pipelines
  • Working knowledge of structured and unstructured data processing
  • Basic understanding of Lakehouse architecture and Medallion framework
  • Familiarity with Delta Lake concepts
  • Strong problem-solving and debugging skills

Preferred Qualifications

  • Experience with Azure Databricks
  • Understanding of data modeling and data warehousing concepts
  • Exposure to data governance and data quality frameworks
  • Experience working in Agile/Scrum environments

Soft Skills

  • Strong communication and stakeholder collaboration skills
  • Analytical mindset with attention to detail
  • Ability to work independently in a remote setup
  • Team player with a proactive approach to problem-solving

Career Progression Opportunity

This role provides a pathway to grow into a Senior Data Engineer (5–10 Years) position, where responsibilities include:

  • Designing end-to-end data architectures
  • Working extensively with Microsoft Fabric and advanced Azure services
  • Leading data engineering initiatives and mentoring team members
  • Optimizing large-scale distributed data systems
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