At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!
Drive the design and implementation of scalable data platforms as a Data Engineer with deep hands on expertise in Spark, Kafka, Python, SQL and PySpark. Collaborate with cross functional teams in a hybrid work model to deliver resilient data solutions that power analytics business insights and responsible innovation for global stakeholders.
Qualifications:
- +8 years of experience as Data Engineer
- Experience with SQL, Python, Spark and Pyspark is a must
- ADVANCED ENGLISH IS A MUST
- Hybrid role in any of our 4 locations in Mexico: CDMX, Guadalajara, Monterrey or Queretaro
Responsibilities
• Design end to end data platform architectures that use Spark Kafka Python SQL and PySpark to process high volume structured and unstructured datasets efficiently and reliably
• Define technical patterns for batch and streaming data pipelines that improve performance reliability and observability while aligning with the company data strategy and compliance standards
• Guide engineering teams in implementing reusable data ingestion frameworks on Kafka and Spark that reduce duplication of effort and accelerate delivery of new analytical workloads
• Create logical and physical data models that support analytics and reporting use cases while ensuring strong data quality lineage security and privacy controls across environments
• Develop reference implementations and production grade code in Spark in Scala and PySpark to validate architecture decisions and demonstrate best practices for coding testing and deployment
• Optimize Spark jobs and SQL queries by tuning resource configurations partitioning strategies and file formats to reduce costs and improve execution times for critical workloads
• Collaborate with product owners data engineers and analysts to translate business requirements into scalable technical designs that deliver measurable value for internal and external customers
Why Cognizant?
Improve your career in one of the largest and fastest growing IT services providers worldwide
Receive ongoing support and funding with training and development plans
Have a highly competitive benefits and salary package
Get the opportunity to work for leading global companies
We are committed to respecting human rights and build a better future by helping your minds and the environment
We invest in people and their wellbeing.
We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.
At Cognizant we believe than our culture make us stronger!
Join us now!
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation 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.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
