Lead Data Engineer, Consulting - Cognizant : Job Details

The Company

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 has over 350,000 employees as of January 2024. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Cognizant Consulting

At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value.

Role Outline

The Data Engineer will propose and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion. They will liaise with clients to define requirements, refine solutions, and ultimately hand them over to clients' own technical teams. The ideal candidate will have exposure to CI/CD processes, or at least be keen to learn – our clients love infrastructure as code, and we like our engineers to own the deployment of their work. Candidates should delight in creating something from nothing on greenfield projects. We're looking for people who can't let go of interesting problems. We need people who can work independently; but we're a close-knit, supportive team – we like to learn new things and share our ideas so that clients get the best return on their investments.

Essential experience:

• Experience in analysing and cleansing data using a variety of tools and techniques.
• Familiarity with AWS data lake-related components.
• Hands-on experience with Redshift, Glue, and S3.
• Extensive experience in ETL and using patterns for cloud data warehouse solutions (e.g. ELT).
• Hands-on experience with Matillion.
• Familiarity with a variety of Databases, incl. structured RDBMS.
• Experience in working with a variety of data formats, JSON, XML, CSV, Parquet, etc.
• Experience with building and maintaining data dictionaries / meta-data.
• Experience with Linux and cloud environments.
• Data Visualisation Technologies (e.g. Amazon QuickSight, Tableau, Looker, QlikSense).

Desirable experience:

• Familiarity with large data techniques (Hadoop, MapReduce, Spark, etc.)
• Familiarity with providing data via a microservice API.
• Experience with other public cloud data lakes.
• AWS Certifications (particularly Solution Architect Associate and Big Data Speciality).
• Machine Learning.