Sr. Python Spark Developer (Onsite)

Cognizant Technology Solutions-posted 8 months ago

$90,000 - $123,000/Yr

Full-time • Mid Level

Hybrid • Richardson, TX

Professional, Scientific, and Technical Services

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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.

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.

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.

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

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

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