Job Summary:
We are looking for a highly skilled
Senior Data Engineering Developer
with strong hands-on experience in
Azure Data Factory
,
SQL development
, and
ETL tools
. The ideal candidate will design and implement data pipelines, optimize performance, and collaborate with stakeholders in an
Agile environment
to deliver robust data solutions.
Key Responsibilities:
Design and Develop Pipelines:
Build and maintain
Azure Data Factory pipelines
and implement
CI/CD processes
for automated deployments.
SQL Development:
Write and optimize
complex stored procedures
,
functions
, and queries for high-performance data processing.
Agile Delivery:
Work in an
Agile model
, participate in sprint planning, and ensure timely delivery of data solutions.
ETL Expertise:
Utilize prior experience with
ETL tools
such as
SSIS
,
Informatica
, or
DataStage
for data integration tasks.
Optional Skills:
Exposure to
SAP BODS
is a plus.
Technical Solutioning:
Provide technical guidance and solutions to the team for complex data engineering challenges.
Cloud \& Data Warehouse Concepts:
Apply knowledge of
cloud architecture
and
data warehouse principles
to design scalable solutions.
Required Skills \& Qualifications:
8–10 years of experience in
data engineering
and
ETL development
.
Strong hands-on experience with
Azure Data Factory
and
CI/CD implementation
.
Advanced proficiency in
SQL
, including performance tuning and optimization.
Experience with
ETL tools
(SSIS, Informatica, DataStage).
Familiarity with
Agile methodologies
.
Understanding of
cloud concepts
and
data warehouse design
.
Preferred Qualifications:
Experience with
SAP BODS
.
Knowledge of
Azure DevOps
for pipeline automation.
Strong problem-solving and communication skills.