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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