Job Title: Senior Data Engineer
Experience: 6 to 13 years
Skills: Python, AWS (Glue/Lambda)
Location: Bangalore/Hyderabad/Kolkata/Pune/Chennai
Technical Skills:
- Apache Spark
- Amazon S3
- AWS Glue Catalog
- AWS Glue ETL
- AWS Glue Studio
Responsibilities:
- Design and develop scalable ETL processes using AWS Glue Studio to meet business requirements.
- Oversee the implementation of data pipelines and workflows in AWS Glue ETL to ensure efficient data processing.
- Provide expertise in managing and optimizing AWS Glue Catalog for metadata management and data discovery.
- Utilize Amazon S3 for secure and efficient data storage and retrieval.
- Implement and optimize data processing tasks using Apache Spark for large datasets.
- Collaborate with data scientists and analysts to understand data requirements and deliver effective solutions.
- Monitor and troubleshoot ETL jobs to maintain data quality and integrity.
- Ensure strong proficiency in SQL for data manipulation and queries.
- Develop and maintain comprehensive documentation for ETL processes and data pipelines.
- Ensure compliance with data governance and security policies.
- Participate in code reviews and offer constructive feedback to team members.
- Stay updated with the latest trends and best practices in data engineering and AWS technologies.
- Contribute to the continuous improvement of data engineering practices and processes.
- Work closely with cross-functional teams to support data-driven decision-making.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Strong proficiency in AWS Glue Studio, AWS Glue ETL, and AWS Glue Catalog.
- Extensive experience with Amazon S3 for data storage and retrieval.
- Expertise in Apache Spark for data processing and analysis.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Experience with data governance and security practices.
- Proactive attitude towards learning and adopting new technologies.
- Solid understanding of data warehousing concepts and best practices.
- Ability to work independently as well as part of a team.
The Cognizant Community:
We are a high-caliber team that appreciates and supports one another. Our workplace is energetic, collaborative, and inclusive, allowing everyone to thrive.
Cognizant is a global community with more than 350,000 associates worldwide. We don’t just envision a better way—we make it happen. We prioritize our people, clients, communities, and the environment by doing what's right, fostering an innovative atmosphere where you can build the career path that's right for you.
About Us:
Cognizant (Nasdaq-100: CTSH) is one of the world’s leading professional services companies, helping organizations modernize technology, reimagine processes, and transform experiences to stay ahead in a fast-changing world.
Our Commitment to Diversity and Inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity, and values inclusion. We are dedicated to creating a community where everyone feels heard, accepted, and welcome. Your application will not be considered based on any protected characteristic as outlined by federal, state, or local laws.
If you require reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
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 via video conference, and may need to present a current state or government-issued ID during each interview.
