Technical Lead- Snowflake/PySpark (on site)

This on-site position isopen to any qualified applicant in the United States.

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant’s AIA practice takes insights that are buried in data and provides businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

We are seeking a highly skilled Technical Lead with 8+ years of experience to join our dynamic team. The ideal candidate will have extensive experience in Snowflake and PySpark along with a strong background in Sales and Marketing domains. This role involves leading technical projects ensuring high-quality deliverables and driving innovation within the team.

• Lead the design and implementation of data solutions using Snowflake and PySpark.
• Oversee the development and deployment of scalable data pipelines.
• Provide technical guidance and mentorship to team members.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Ensure data integrity and quality across all projects.
• Drive continuous improvement in data processing and analytics.
• Develop and maintain documentation for data solutions and processes.
• Conduct code reviews to ensure adherence to best practices and coding standards.
• Troubleshoot and resolve technical issues related to data processing.
• Implement data security and privacy measures in compliance with company policies.
• Monitor and optimize system performance to ensure efficient data processing.
• Stay updated with the latest industry trends and technologies in data engineering.
• Contribute to the strategic planning and execution of data initiatives.

• Possess a strong background in Snowflake and PySpark with hands-on experience.
• Demonstrate expertise in Sales and Marketing domains.
• Exhibit excellent problem-solving and analytical skills.
• Show proficiency in designing and implementing data solutions.
• Have experience in leading technical projects and teams.
• Display strong communication and collaboration skills.
• Be adept at troubleshooting and resolving technical issues.
• Understand data security and privacy best practices.
• Stay updated with industry trends and new technologies.
• Have a track record of delivering high-quality technical solutions.
• Be capable of mentoring and guiding team members.
• Show ability to translate business requirements into technical solutions.
• Demonstrate strong documentation and process development skills.

The annual salary for this position is between $101,000 - $130,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant’s applicable plans.

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 law.