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