What You'll Do- Design and build scalable data pipelines using Azure Databricks, Spark, and PySpark
- Lead end-to-end data engineering solutions from design through production
- Optimize Spark workloads, clusters, and jobs for performance, reliability, and cost
- Integrate data from multiple sources into trusted, analytics-ready datasets
- Build strong data quality, monitoring, and validation into every pipeline
- Establish coding standards, reusable frameworks, and engineering best practices
- Partner with architects, product teams, and business stakeholders to solve real-world data challenges
- Mentor engineers through design reviews, code reviews, and technical guidance
- Explore new Databricks and Spark capabilities and bring the best ideas into production
What We're Looking For > Must have 13+ years of total experience with DW space.- Strong hands-on experience with Azure Databricks 5 + years Must have to be considered
- Deep expertise in Spark / PySpark, Python, and SQL
- Experience building large-scale ETL/ELT data pipelines
- Strong understanding of data modeling and distributed data processing
- Experience with performance tuning and Databricks cluster optimization
- Knowledge of Delta Lake, ADLS, ADF, Unity Catalog, CI/CD, and Azure DevOps is a plus
- Strong communication skills and the ability to lead and mentor engineering teams
Bonus PointsExperience working with
hospitality, travel, booking, customer, or operational data.
If you enjoy building smart, scalable data solutions and want to see your work directly influence business and customer experiences, this could be a great fit.Exempt Roles (up to AD Level)
Note: Compensation range should extend from the minimum to P75, consistent with the job family and level.
For all remote positions and those based in pay transparency locations, include this text in the External Description:
Salary and Other Compensation:
The annual salary for this position is between $120-135Kdepending on experience and other qualifications of the successful candidate.
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 la
Additional employment informationCompensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
