Cognizant (NASDAQ : CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
This position does not offer visa sponsorship; only candidates who are visa-independent are eligible to apply.
Job Title : Azure Data Engineer (Databricks, Synapse, PySpark, ADF)
Location : United States
Employment Type : Full-time
Cognizant (NASDAQ : CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
About the Role
We are seeking an experienced
Azure Data Engineer
with strong expertise in
Azure Databricks ,
Azure Synapse Analytics ,
PySpark , and
Azure Data Factory (ADF) . This role involves designing and implementing scalable data solutions on Azure, enabling advanced analytics and business intelligence for enterprise clients.
Key Responsibilities
Design and develop
data pipelines
using
Azure Data Factory (ADF)
and
Databricks
for ETL / ELT processes.
Implement
data transformation and processing
using
PySpark
within Databricks.
Build and optimize
data models
in
Azure Synapse Analytics
for reporting and analytics.
Collaborate with business and technical teams to gather requirements and deliver robust data solutions.
Ensure
data quality, security, and compliance
across all data processes.
Optimize performance of data pipelines and queries for large-scale datasets.
Troubleshoot and resolve issues related to data ingestion, transformation, and storage.
Document technical designs, workflows, and best practices.
Required Skills & Experience
5+ years
of experience in data engineering with strong Azure expertise.
Hands-on experience with
Azure Databricks
for big data processing.
Proficiency in
PySpark
for data transformation and analytics.
Strong knowledge of
Azure Synapse Analytics
for data warehousing and modeling.
Experience in building
ETL / ELT pipelines
using
Azure Data Factory (ADF) .
Solid understanding of
SQL
and performance tuning for large datasets.
Familiarity with
Azure security and governance
best practices.
Excellent communication and problem-solving skills.
Preferred Qualifications
Experience with
Delta Lake ,
Azure DevOps , and CI / CD for data solutions.
Knowledge of
data lake architecture
and
data governance frameworks .
Exposure to
Power BI
or other visualization tools.
Why Join Us?
Work on cutting-edge Azure data technologies in a dynamic environment.
Opportunity to design and implement enterprise-scale data solutions.
Collaborative team culture with focus on innovation and growth.
Work model :
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a
remote position
open to qualified applicants in
United states . Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Application Accepted : 12 / 05 / 2025
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements :
Medical / Dental / Vision / Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term / Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer : The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
#LI-AV1#CB#Ind123
Azure Data Engineer • Berkeley, California, United States