Senior Data Engineer

Cognizant

Little Rock, Arkansas, United States

Little Rock, Arkansas, United States

Über

Job Summary Serve as an Architect within a global enterprise designing and optimizing scalable data solutions using Python, Databricks SQL, and PySpark. Enable secure high-quality data products that support analytics and AI initiatives in a hybrid work model with day shifts and no travel requirement while aligning technical delivery to business value.
Responsibilities
Design advanced distributed data processing solutions using Python and PySpark to deliver reliable batch and streaming pipelines that support key business analytics needs
Develop efficient Databricks SQL queries and curated datasets to empower data consumers with timely and trustworthy insights for strategic decision making
Architect data models and data lake structures that promote reusability, governance and scalability across multiple domains and cross‑functional initiatives
Optimize Spark jobs for performance, cost efficiency and stability by tuning configurations, partitioning strategies and storage formats on the Databricks platform
Collaborate with product teams, data engineers and data analysts to translate complex business requirements into robust data architecture and implementation patterns
Define standards and best practices for coding, testing, monitoring and documentation of Spark in Scala, Python, Databricks SQL and PySpark based solutions
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Little Rock, Arkansas, United States

Sprachkenntnisse

English

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