**Job Summary** Join our dynamic team as a Developer where you will leverage your expertise in Spark in Scala Databricks and Amazon technologies to drive innovative solutions. With a hybrid work model and day shifts you will collaborate with cross-functional teams to optimize data processes and enhance our data infrastructure. Your contributions will directly impact our companys success and societal advancements. **Responsibilities** + Develop and implement scalable data processing solutions using Spark in Scala to enhance data efficiency and performance. + Collaborate with cross-functional teams to design and optimize data workflows using Databricks Workflows and Databricks SQL. + Administer and manage Databricks Unity Catalog to ensure data governance and security across the organization. + Utilize Databricks CLI to automate data pipeline deployments and streamline operational processes. + Integrate and manage data storage solutions using Amazon S3 and Amazon Redshift to support data analytics initiatives. + Write and maintain high-quality Python and PySpark code to process and analyze large datasets effectively. + Implement Databricks Delta Lake for reliable and efficient data storage and retrieval. + Monitor and troubleshoot data workflows to ensure seamless data operations and minimize downtime. + Provide technical expertise and support to team members fostering a collaborative and innovative work environment. + Stay updated with the latest industry trends and technologies to continuously improve data solutions. + Contribute to the development of best practices and standards for data engineering processes. + Ensure data quality and integrity through rigorous testing and validation procedures. + Document and communicate technical solutions and processes to stakeholders for transparency and alignment. **Qualifications** + Possess strong experience in Spark in Scala and Databricks technologies demonstrating proficiency in data engineering. + Have hands-on experience with Amazon S3 and Amazon Redshift for data storage and management. + Demonstrate expertise in Python and PySpark for data processing and analysis. + Experience with Databricks SQL and Delta Lake is essential for efficient data operations. + Familiarity with Databricks CLI and Unity Catalog Admin is highly desirable. + Strong problem-solving skills and ability to work in a hybrid work model. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.