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Senior Data Engineer, Consulting

Cognizant

London

On-site

GBP 50,000 - 90,000

4 days ago
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Job summary

An established industry player is seeking a Senior Data Engineer to join their consulting team. This role involves leveraging AWS infrastructure to design and implement data solutions that meet client needs. You'll work independently on greenfield projects, utilizing your expertise in data analysis, ETL processes, and cloud technologies. The company fosters a supportive environment where innovation thrives, and your contributions will directly impact clients' success. If you are passionate about solving complex problems and eager to grow in your career, this opportunity is perfect for you.

Qualifications

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

Responsibilities

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

Skills

Data Analysis

Data Cleansing

AWS Services

ETL Processes

Data Visualization

Linux

Cloud Environments

Problem Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS Glue

Redshift

S3

Matillion

Amazon QuickSight

Tableau

Looker

QlikSense

Job description

Senior 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. 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.

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