Big Data/Hadoop Developer

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Visit www.infosys.comto see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Role:
JL4
Job Title:
Technology Analyst
Short Description:
The Data Engineer (Big Data) is responsible for designing, developing and supporting batch data pipelines and applications. You will be responsible for developing an expert-level understanding of the core capabilities and building production grade data pipelines, application and components to extend the platform.

Skill:

• Expert big data engineering skills including Java, Scala, Python, the Apache Big Data stack and Hortonworks HDF including:Hadoop

Hive
Spark
HBase

Location:
Sydney, Australia

Years of EXP: 4+

Roles and Responsibilities:

• Design and build data pipelines for both analytical and operational data applications
• Build capabilities on the platform that enable data analysts to rapidly consume data pipelines through data applications and exploration capabilities
• Define and update data models and associated technical and business metadata
• Work closely with Product Owner/s, Architects and delivery teams to build systems that drive towards its strategic platform vision
• Optimise and contribute to existing Platform frameworks, components and templates enabling future development efficiencies
• Knowledge transfer throughout the organization via participation in CoPs, appropriate documentation and internal presentations establishing thought leadership and capability excellence on client’s platform

Skill/Competency Requirements:
Essential –

• Experience building batch data pipelines and applications in a production environment
• Experience with functional programming techniques
• Experience in Test Driven Development or Behaviour Driven Development
• Experience in logical and physical data modelling across structured, semi-structured and unstructured data technologies
• Software testing and release cycle experience
• Excellent communications skills and a team player

Preferred –

• SQL and relational database skills (MS SQL Server, Oracle, etc.)
• Proficiency with Cloud providers, preferably Azure, alternatively AWS, GCP, etc.
• Ability to express real-world processes in the languages of mathematics and probability
• Agile delivery experience (including Scrum, Kanban, SAFe)

Additional skills:

• Domain expertise in finance, credit risk, fraud, and/or marketing
• Proficiency with data visualization libraries (Bokeh, Matplotlib, d3.js)
• Machine learning or data science engineering experience

Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.
EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity.

Job Types: Full-time, Permanent

Salary: $75,649.80 – $160,332.40 per year

Benefits:

• Employee discount
• Health insurance
• Life insurance
• Professional development assistance
• Salary packaging
• Work from home

Schedule:

• Day shift

Supplemental pay types:

• Performance bonus
• Quarterly bonus

Ability to commute/relocate:

• Sydney NSW: Reliably commute or planning to relocate before starting work (Required)

Work Authorisation:

• Australia (Required)