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Data Engineer

Employer
Cognizant
Location
Sydney, Australia
Salary
Competitive
Closing date
May 17, 2024

View more

Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Job Description

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating many opportunities for people like YOU - people with an entrepreneurial spirit who want to make a difference in this world.

At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.

Position Summary:

• The Data Engineer will assist with the definition and development of business intelligence, data analytics solution and automation initiatives on a wide range of client projects.

• This role will involve ad hoc data analysis, customer profiling, implementation of prototypes and other aspects of data management, designing predictive and analytical models. There will also be a focus on designing, building, and improving data platforms and systems, working closely with clients, and helping them through their own data and integration solutions. This is very much a hands-on role implementing the client solution.

Mandatory Skills:

• Technical Skills

o Data architecture, modelling, integration, and transformation

o Data Warehousing (Kimball Modelling, Data Vault)

o Data Warehousing tools like Snowflake, DBT etc.

o SQL Expertise

o Cloud Data Storage Platforms

o Strong ETL experience

o Strong skills with Java, Python or at least one similar language

o Data visualization tools (e.g., Power BI, Tableau)

• Soft Skills

o Self-Starter

o Teamwork and Collaboration

o Good Communicator

o Learning Agility

Duties and Responsibilities:

Engineering

• Build infrastructure-as-code solutions to deliver cloud-based data driven process and analytics.

• Design and implement cloud data architectures to effectively capture, integrate, organise, centralise, and maintain data.

• Identify where data science can create value or solve problems for your clients.

• Work with the business to uncover their problems, understand their data needs, implement data science solutions and data architecture to support those needs and create value.

• Help design, build, and run cloud-based data processing platforms, real time workload and streaming data flows in a large utility environment utilising automation.

• Implement solutions on a variety of big data platforms while following best practices in an agile environment.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources such as, SQL and Azure 'big data' technologies.

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.

• Well versed with security best practices for handling and processing data.

• Support and enable the business in analysing, modelling, interpreting, and deploying advanced, scalable, and effective data and analytics solutions.

• Participate in technology selection and assessment across the existing and future ecosystems and thus define possible target designs and further experiments.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

• Collaborate with squad members to design and deliver well engineered technical solutions for clients.

• Be a self-starter with the ability to work in team and when required independently, take initiative, and learn new skills.

Analytics

• Support and enable the business in analysing, modelling, interpreting, and deploying advanced, scalable, and effective data and analytics solutions.

• Participate in technology selection and assessment across the existing and future ecosystems and thus define possible target designs and further experiments.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Team

• Collaborate with squad members to design and deliver well engineered technical solutions for clients.

• Be a self-starter with the ability to work in team and when required independently, take initiative, and learn new skills.

Salary Range: > $100,000

Next Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us. For a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers.Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.

About Cognizant:

Cognizant (Nasdaq-100: CTSH) 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. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : May 07 2024

About Cognizant
Cognizant (Nasdaq-100: CTSH) 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 is ranked 185 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 or follow us @Cognizant.

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