with approximately 3 years of hands-on experience in building and maintaining scalable data pipelines. The ideal candidate should have strong expertise in
Azure Databricks
and Azure Database services. Experience with
AWS Databricks
is also acceptable.
As a Data Engineer, you will work closely with data scientists, analysts, and business stakeholders to provide clean, structured, and reliable datasets for analytics and operational use cases. You will be responsible for designing and implementing efficient data pipelines, ensuring data quality, and optimizing performance for large-scale data systems.
Key Responsibilities
Design, develop, and manage data pipelines and ETL/ELT processes using
Azure Databricks
(or
AWS Databricks
).
Integrate data from multiple sources into Azure data platforms such as
Data Lake
,
Synapse
, and
Azure SQL
.
Collaborate with data scientists and analysts to provide structured, reliable datasets for modeling and reporting.
Implement best practices for
data quality, security, and governance
.
Optimize data flows, storage, and processing for scalability and high performance.
Monitor and troubleshoot data pipelines to ensure reliability and minimal downtime.
Contribute to the design and implementation of data models and architectures supporting
business intelligence
and analytics initiatives.
Required Skills & Experience
3+ years of experience as a
Data Engineer
or in a related data role.
Strong hands-on experience with
Azure Databricks
(or AWS Databricks).
Experience with
Azure Database services
and cloud data storage solutions.
Proficiency in
SQL
,
Python
, and data transformation frameworks.
Solid understanding of
ETL/ELT processes
,
data modeling
, and
data warehousing
concepts.
Familiarity with version control tools (e.g.,
Git
) and
CI/CD pipelines
.
Excellent problem-solving skills and ability to work collaboratively in cross-functional teams.
Preferred Qualifications
Azure or Databricks certifications
.
Experience with
big data technologies
and distributed computing frameworks.
Exposure to
data orchestration tools
such as
Azure Data Factory
,
Airflow
, or similar.
Knowledge of
MLOps
, analytics platforms, or machine learning pipelines.
Why Join Us
Work remotely with a collaborative and innovative team.
Opportunity to work on
modern cloud-based data architectures
and scalable pipelines.
Exposure to
Azure/AWS cloud platforms
, ETL/ELT best practices, and data modeling.
Professional growth through challenging projects and cross-functional collaboration.
Job Types: Full-time, Permanent
Pay: ?500,000.00 - ?1,000,000.00 per year
Application Question(s):
Are you serving any notice period?
What is your last working day?
Are you an immediate joiner?
Work Location: In person
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