Pyspark Databricks Lead (Hybrid)

This hybrid position isopen to any qualified applicant in the United States.

This position is hybrid in Chicago, Illinois. A qualified applicant must be local to this area or be open to relocation.

Practice - AIA - Artificial Intelligence and Analytics

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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!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 provide 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.

Job Duties and Responsibilities:

Job Title: Pyspark Databricks Lead (Hybrid)

Job Summary:

We are seeking a highly skilled Technical Lead with 10 to 12 years of experience to join our team as an Architect - Technology. The ideal candidate will have extensive experience in PySpark Spark Pyspark Databricks Databricks Workflows and Databricks SQL. Additionally expertise in the Issuer and Issuer Processor domain is mandatory. This role involves leading technical projects ensuring high-quality deliverables and driving innovation within the team.

Qualifications

• Possess a strong background in PySpark and Spark with hands-on experience in designing and implementing data processing solutions.

• Demonstrate expertise in Databricks and Databricks Workflows with a proven track record of automating data pipelines.

• Exhibit proficiency in Databricks SQL and the ability to optimize complex queries for performance.

• Have in-depth knowledge of the Issuer and Issuer Processor domain with experience in handling domain-specific data challenges.

• Showcase excellent problem-solving skills and the ability to troubleshoot complex technical issues.

Salary and Other Compensation:

Applications will be accepted until 1 Oct 2024.

The annual salary for this position is between $115,500 - $135,000 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.