About us
Cognizant is one of the world's leading professional services companies, redefining clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant consulting
Within Cognizant is Cognizant Consulting, a global consulting organization delivering strategic and domain consulting through industry and technology expertise. With over 6,000 consultants worldwide, Cognizant offers high-value consulting services that improve business performance and operational productivity, lower operational expenses and enhance overall performance. Clients draw upon our deep industry expertise, program and organisational change capabilities, and analytical objectivity to help improve business productivity, drive technology-enabled business transformation and increase shareholder value. We provide a number of Business/IT Consulting Services including Business Strategy, IT Strategy & Roadmap Development, Process Re-Engineering & Transformation, Enterprise Architecture & Technology Selection, and Domain Solutions. The Cognizant Consulting team is a hard-working organization that is continually expanding our client base and increasingly being recommended by analysts such as Forrester and Gartner. And we’re growing!
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
We are seeking a highly skilled and experienced Sr Python Data Engineer to join our team and lead the development and maintenance. The ideal candidate will have a strong background in software engineering, data integration, and cloud technologies. This role requires excellent leadership skills, technical expertise, and the ability to collaborate with cross-functional teams.
Key responsibilities:
Data Pipeline Development:Design and implement robust data pipelines using Python libraries like Pandas, NumPy, and PySpark to extract data from diverse sources (databases, APIs, web scraping), transform it into a usable format, and load it into data warehouses or data lakes.
ETL Process Design:Develop and optimize ETL processes to clean, standardize, and aggregate data for analysis, including data validation and quality checks.
Data Modeling:Create efficient data models and schemas for data storage in databases (relational and NoSQL) to optimize data retrieval and analysis.
Cloud Infrastructure Management:Utilize cloud platforms like AWS, Azure, or GCP to deploy and manage data pipelines, including scaling and performance optimization.
Data Integration:Integrate data from multiple sources, handling data inconsistencies and ensuring data quality across systems.
Collaboration:Work closely with data scientists, analysts, and business teams to understand data requirements and deliver actionable insights.
Monitoring and Optimization:Monitor data pipelines for performance issues, identify bottlenecks, and implement optimization strategies to maintain data flow efficiency.
Required Skills:
Proficient Python Programming:Strong command of Python programming language, including data manipulation libraries (Pandas, NumPy) and data processing frameworks (PySpark)
SQL Expertise:Excellent knowledge of SQL for querying and manipulating data in relational databases
Data Warehousing and Data Lakes:Understanding of data warehouse concepts (e.g., Snowflake, Redshift) and data lake technologies (e.g., AWS S3)
Cloud Computing:Familiarity with cloud platforms (AWS, Azure, GCP) and related services for data storage and processing
Data Engineering Tools:Experience with data pipeline orchestration tools (e.g., Apache Airflow) and data quality monitoring tools
Application Expiration Date: 2/17/2025
The annual salary for this position is between $85,000 - $100,000 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 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 PlanDisclaimer: 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.
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The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. 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 protected characteristic as outlined by federal, state or local laws.
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 by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.