SR Snowflake Developer

What the role needs

• Job Title: Senior Data Engineer – Snowflake & Python
• The role requires hands-on experience with ETL/ELT development, Snowflake data warehousing, Python automation, data quality, performance optimization, CI/CD, and production troubleshooting.
• Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and Snowflake.
• Build ingestion and transformation processes for data from sources such as Oracle, SQL Server, APIs, flat files, and cloud object storage.
• Develop and optimize Snowflake objects including databases, schemas, tables, views, stages, streams, tasks, and stored procedures.
• Write complex and performance-optimized SQL queries for data transformation and analytics workloads.
• Work with structured and semi-structured formats including CSV, JSON, Parquet, and XML.
• Perform Snowflake performance tuning through query analysis, warehouse sizing, clustering strategy, and optimization of data-processing patterns.
• Implement data-quality controls including source-to-target validation, reconciliation, duplicate checks, null checks, schema validation, and exception handling.
• Design effective logging, error handling, retry, monitoring, and alerting mechanisms for production pipelines.
• Troubleshoot data discrepancies, failed pipelines, performance bottlenecks, and production incidents.
• Apply Snowflake security concepts including RBAC, roles, privileges, secure views, and data-access controls.

From the employer

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. Job Title: Senior Data Engineer – Snowflake & Python Job Summary: We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Python, SQL, and modern data engineering practices. The ideal candidate will design, build, optimize, and support scalable data pipelines and cloud-based data solutions, working with large volumes of structured and semi-structured data. The role requires hands-on experience with ETL/ELT development, Snowflake data warehousing, Python automation, data quality, performance optimization, CI/CD, and production troubleshooting. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and Snowflake. Build ingestion and transformation processes for data from sources such as Oracle, SQL Server, APIs, flat files, and cloud object storage. Develop and optimize Snowflake objects including databases, schemas, tables, views, stages, streams, tasks, and stored procedures. Write complex and performance-optimized SQL queries for data transformation and analytics workloads. Work with structured and semi-structured formats including CSV, JSON, Parquet, and XML. Perform Snowflake performance tuning through query analysis, warehouse sizing, clustering strategy, and optimization of data-processing patterns. Implement data-quality controls including source-to-target validation, reconciliation, duplicate checks, null checks, schema validation, and exception handling. Design effective logging, error handling, retry, monitoring, and alerting mechanisms for production pipelines. Troubleshoot data discrepancies, failed pipelines, performance bottlenecks, and production incidents. Apply Snowflake security concepts including RBAC, roles, privileges, secure views, and data-access controls. Participate in code reviews and ensure solutions meet engineering, security, scalability, and maintainability standards. Build and maintain CI/CD pipelines using Git-based development and deployment practices. Create and maintain technical documentation, data mappings, operational procedures, and implementation specifications. Mentor junior engineers and provide technical guidance on Python, SQL, Snowflake, and data-engineering best practices. Required Qualifications 7+ years of experience in data engineering, ETL/ELT, data warehousing, or related development. Strong hands-on development experience with Snowflake. Advanced proficiency in Python for data processing, automation, APIs, and pipeline development. Advanced SQL skills, including joins, CTEs, window functions, stored procedures, query optimization, and large-volume data processing. Strong troubleshooting and root-cause-analysis skills. Experience implementing data-quality, reconciliation, monitoring, and exception-handling frameworks. Primary Skills : Snowflake, Python, SQL, ETL/ELT, Data Warehousing Secondary: Git, CI/CD, REST APIs Snowflake: Streams, Tasks, Stages, Snowpipe, RBAC, Query Optimization, Warehouses Python: Pandas, APIs, file processing, exception handling, logging, automation Data: Oracle, SQL Server, CSV, JSON, Parquet, XML Engineering: Data Quality, Reconciliation, Monitoring, Performance Tuning, Production Support Candidate Profile The successful candidate should be a hands-on senior engineer capable of owning a data pipeline from source ingestion through Snowflake transformation and production support. They should be comfortable solving complex Python/SQL problems, optimizing Snowflake workloads, investigating data-quality issues, and designing maintainable solutions rather than simply developing one-off ETL jobs. Application Accepted: 10/30/2026 The annual salary for this position is between $130,000 - $135,000 depending on experience and other qualifications of the successful candidate. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · 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 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable language Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! #LI-AV1#CB#Ind123 Additional employment information 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 by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.