Sr. Python Spark Developer (Onsite)

About the position

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. We are seeking a Sr. Developer with 5+ years of experience in Spark in Scala Apache Airflow Python and Databricks SQL. The ideal candidate will have a strong background in Asset Management Operations. This hybrid role requires the candidate to work during the day shift and does not require travel. The candidate will play a crucial role in developing and maintaining our data infrastructure ensuring optimal performance and reliability.

Responsibilities

• Develop and maintain data pipelines using Spark in Scala to ensure efficient data processing and transformation.
• Implement and manage workflows using Apache Airflow to automate and schedule data tasks.
• Write and optimize complex SQL queries in Databricks SQL to support data analysis and reporting.
• Utilize Python to develop scripts and applications for data manipulation and integration.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Monitor and troubleshoot data pipelines to ensure data quality and system reliability.
• Provide technical guidance and support to team members on best practices and industry standards.
• Conduct code reviews to ensure code quality and adherence to development standards.
• Stay updated with the latest technologies and trends in data engineering and asset management operations.
• Participate in design and architecture discussions to contribute to the overall data strategy.
• Document processes workflows and data models to maintain a comprehensive knowledge base.
• Ensure compliance with data governance and security policies.
• Contribute to continuous improvement initiatives to enhance the efficiency and effectiveness of data operations.

Requirements

• Possess strong experience in Spark in Scala for developing and maintaining data pipelines.
• Have hands-on experience with Apache Airflow for workflow automation and scheduling.
• Demonstrate proficiency in writing and optimizing SQL queries in Databricks SQL.
• Exhibit expertise in Python for developing data manipulation and integration scripts.
• Show a solid understanding of asset management operations and related data requirements.
• Display excellent problem-solving skills and the ability to troubleshoot data issues effectively.
• Have strong communication skills to collaborate with cross-functional teams and stakeholders.
• Be detail-oriented with a focus on delivering high-quality solutions.
• Stay proactive in learning and adopting new technologies and best practices.
• Maintain a strong commitment to data governance and security standards.
• Be capable of working independently and managing multiple tasks in a hybrid work environment.
• Demonstrate the ability to document processes and maintain a comprehensive knowledge base.
• Show a proactive approach to continuous improvement and innovation in data operations.

Nice-to-haves

• Certified Spark Developer
• Apache Airflow Certification
• Python Data Science Certification
• Databricks SQL Analyst Certification

Benefits

• 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