Cognizant

DataBricks Data engineer

Cognizant$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Data Engineering with a focus on Databricks SQL and PySpark.
  • Hands-on experience in cloud modernization and data migration projects.
  • Solid foundation in data modeling, performance optimization, and governance.
  • Good grasp of cloud-native data platforms such as AWS, Azure, or GCP.
  • Experience mentoring teams and ensuring adherence to technical standards.

Responsibilities

  • Design and execute scalable data migrations using Databricks Lakehouse and Delta Lake.
  • Develop and optimize Databricks SQL and PySpark pipelines for ETL and analytics.
  • Lead architecture for cloud modernization projects with a focus on performance and cost-efficiency.
  • Collaborate with stakeholders to translate business needs into technical solutions.
  • Provide mentorship and technical guidance to engineering teams on best practices.
  • Enhance solution designs to comply with governance and security standards.
  • Support production deployments and optimize data workflows in cloud environments.

Benefits

  • Technical leadership opportunities in innovative cloud projects.
  • Mentorship roles to guide emerging talent in the data engineering field.
  • Exposure to advanced data technologies and frameworks.
  • Collaboration with cross-functional teams across global locations.
  • A dynamic work environment promoting continuous learning and improvement.
Full Job Description
Job Title - DataBricks Data engineer

Unfortunately no visa transfer /sponsorship available

Job Description:

We are seeking a highly skilled Lead Data Engineer with deep expertise in Databricks SQL, PySpark, and modern cloud data platforms. The ideal candidate will have hands-on experience delivering cloud modernization and migration initiatives, along with the ability to design and optimize scalable data architectures that support analytics, data engineering, and enterprise-scale processing.

This role involves handling the Databricks to Pyspark Migration design, guiding engineering teams, and ensuring data solutions meet performance, security, and governance standards.

Key Responsibilities :

Design and implement scalable, high-performance data migrations using Databricks Lakehouse, Delta Lake, and distributed processing frameworks.

Develop, optimize, and productionize Databricks SQL and PySpark pipelines supporting large-scale ETL, streaming, and advanced analytics workloads.

Lead end-to-end architecture for cloud modernization and migration projects, ensuring best practices in scalability, performance, governance, and cost efficiency.

Collaborate with business partners, product owners, and engineering teams to convert business requirements into robust technical solutions.

Provide technical leadership and mentorship to data engineers and developers, ensuring adherence to coding, design, and architectural standards.

Review and improve solution designs, ensuring alignment with enterprise governance, security, and compliance frameworks.

Support production deployments, troubleshooting, and performance tuning of data workflows running on Databricks and cloud-native platforms.

Drive continuous improvement and adoption of emerging technologies, tools, and best practices within the data engineering ecosystem.

Required Technical Skills:

Strong hands-on expertise with Databricks SQL

Advanced development experience with PySpark for ETL and data processing

good understanding of cloud-native data platforms (AWS, Azure, or GCP)

strong foundation in data modeling, performance optimization, and governance

Preferred Skills:

Experience with AWS data services (Glue, S3, Lambda, Lakehouse technologies)

Exposure to Iceberg/Delta Lake, data quality frameworks, and data cataloging

Strong communication skills and ability to work with global teams

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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