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Principal Data Engineer, Consulting

Cognizant Technology Solutions

London

On-site

GBP 50,000 - 90,000

Yesterday
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Job summary

An established industry player is seeking a Principal Data Engineer to drive innovative solutions using AWS infrastructure. This role involves collaborating with clients to define and implement data solutions, leveraging tools like Redshift and Matillion. The ideal candidate will thrive in a dynamic environment, eager to tackle complex challenges and contribute to greenfield projects. Join a supportive team that values collaboration and continuous learning, where your expertise will make a significant impact on client success and operational efficiency. Embrace the opportunity to grow your career in a diverse and inclusive workplace that champions innovation and excellence.

Qualifications

  • Experience with AWS data lake components and ETL processes.
  • Hands-on experience with data visualization tools and cloud environments.

Responsibilities

  • Propose and implement solutions using AWS infrastructure.
  • Liaise with clients to define requirements and refine solutions.

Skills

Data Analysis

Data Cleansing

AWS Infrastructure

ETL Processes

Data Visualization

Linux

Cloud Environments

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS Glue

Redshift

Matillion

Amazon QuickSight

Tableau

Looker

QlikSense

Job description

Principal Data Engineer, Consulting

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.

The Role

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.

Qualifications:

  • 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.

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.

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.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don't just dream of a better way - we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what's right.
  • We foster an innovative environment where you can build the career path that's right for you.

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

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.

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