Senior Data Engineer

1 month ago

Dearborn, Michigan, United States Cognizant Full time

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

This position is on-site in Dearborn, Michigan. A qualified applicant must be local to the area.

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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies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:
  • Own the design and implementation of scalable AIML architecture using GCP AIML Techstack, BigQuery, and Cloud SQL to support business objectives
  • Collaborate with multi-functional teams to identify and translate business requirements into technical specifications
  • Optimize data flows and storage for efficiency and scalability
  • Ensure data integrity and security across all platforms and systems
  • Drive the adoption of best practices in data management and analytics
  • Provide mentorship and guidance to junior team members on technical issues.
  • Keep abreast of industry trends and advancements in data technology.
  • Implement solutions that enhance the companys ability to manage and analyze large datasets effectively
  • Contribute to the development of strategies for data acquisition and data sharing within the organization
  • Evaluate and recommend new tools and technologies to improve the analytics infrastructure
  • Facilitate the integration of BigQuery ML and BigQuery Data Transfer Service to enhance analytical capabilities
  • Leverage Python scripting to automate data processes and improve efficiency
Position Qualifications:
  • At least 8 to 12 years of experience
  • Required skills: AIML, BigQuery, and Cloud SQL
  • Nice to have skills: Python, BigQuery ML, Risk Management, BigQuery Data Transfer Service, BigQuery BI, and BigQuery API
  • Proven experience with BigQuery, Cloud SQL, and data architecture principles
  • Strong analytical and problem-solving skills
  • Familiarity with Python, BigQuery ML, and BigQuery Data Transfer Service is highly desirable
  • Knowledge of Risk Management, BigQuery BI, and BigQuery API will be advantageous
  • Experience in the Automotive Industry, particularly in Operations & Production Management, is preferred
  • Excellent communication and collaboration skills
  • Ability to lead projects and guide teams toward achieving business goals
  • A commitment to continuous learning and professional development
Salary and Other Compensation:

Applications will be accepted until 08/13/2024.

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.

#LI-AY1 #CB #Ind123

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