Prequel Solutions
Cloud Data Engineer
Prequel Solutions, Pittsburgh, Pennsylvania, us, 15289
Job Description:
Cloud Data Engineer 1-Year Contract Opportunity
Location:
Pittsburgh, PA Work Model:
Hybrid (3 days onsite, 2 days remote)
Prequel is seeking
Pittsburgh-based Cloud Data Engineers
for an exciting
1-year contract
with a leading
flagship financial services company . This role offers the chance to work on
cutting-edge integration and development projects , contributing to large-scale initiatives in a dynamic, hybrid work environment.
What Youll Do Design, build, and maintain scalable data pipelines and solutions. Leverage your expertise in
Databricks ,
Spark , and
Python
to process and analyze complex datasets. Integrate and automate workflows using
Azure Data Factory (ADF) . Manage and optimize
cloud database
environments to support large-scale operations. Collaborate with cross-functional teams to drive innovative data solutions. What Were Looking For
5+ years of hands-on experience
in data engineering, including a mix of:
Databricks
and
Spark
for distributed data processing. Python
for scripting and automation. Azure Data Factory (ADF)
for data integration and orchestration. Experience with
cloud databases
(e.g., Azure SQL, Snowflake, or similar).
Strong problem-solving skills and a passion for leveraging technology to tackle complex challenges.
Cloud Data Engineer 1-Year Contract Opportunity
Location:
Pittsburgh, PA Work Model:
Hybrid (3 days onsite, 2 days remote)
Prequel is seeking
Pittsburgh-based Cloud Data Engineers
for an exciting
1-year contract
with a leading
flagship financial services company . This role offers the chance to work on
cutting-edge integration and development projects , contributing to large-scale initiatives in a dynamic, hybrid work environment.
What Youll Do Design, build, and maintain scalable data pipelines and solutions. Leverage your expertise in
Databricks ,
Spark , and
Python
to process and analyze complex datasets. Integrate and automate workflows using
Azure Data Factory (ADF) . Manage and optimize
cloud database
environments to support large-scale operations. Collaborate with cross-functional teams to drive innovative data solutions. What Were Looking For
5+ years of hands-on experience
in data engineering, including a mix of:
Databricks
and
Spark
for distributed data processing. Python
for scripting and automation. Azure Data Factory (ADF)
for data integration and orchestration. Experience with
cloud databases
(e.g., Azure SQL, Snowflake, or similar).
Strong problem-solving skills and a passion for leveraging technology to tackle complex challenges.