Junior Data Engineer

Full Time On Site (Full Time) @Commonwealth Bank in Data Science
  • Bangalore View on Map
  • Post Date : February 2, 2022
  • Apply Before : March 4, 2022

Job Description

In your role as a Junior Data Engineer you will be required to maintain and build excellent relationships with CDO peers and stakeholders as well as actively contribute to business outcomes and team culture

You will be required to maintain and build productive relationships with:

  • Project and Program Managers
  • Solution Delivery leaders including Solution Architects and Solution Delivery Managers
  • Business Analysts and QA Team
  • Project and Program teams
  • Administration and operational support teams

See yourself in our team

You will be part of the CDO group. You will utilise cutting-edge technologies to solve our customers’ hardest data centric problems. One of your key responsibilities will be to contribute to the design and build of fit for purpose Business Intelligence solutions, analytical records for modelling and decisioning over a variety of domains and problems spaces. This will include sound knowledge of the Groups data strategy, architecture and technology roadmap, aligning business needs and ensuring appropriate service levels of the CDO technology services. You will adopt tools and templates used across analytics systems that underpin our data and analytics capabilities for the Group.

We’re Interested In Hearing From People Who Have

  • Problem solving – advanced conceptual, analytical and problem-solving skills to analyse complex information for key insights and present as meaningful information to senior management
  • Communication – expert oral and written communication skills with ability to lead discussions with a varied stakeholder across levels
  • Risk Mindset –All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks.
  • Flexible approach and able to deal with change and develop new ways of working to drive continuous improvement
  • Able to build and develop solutions that are fit for purpose, perform well with large data volume and complex data transformation rules, and reliable to operate.
  • Exposure to any ETL tools like Abinitio (Highly Preferred), Datastage, Informatica, Talend.
  • Exposure/Experience in Big data Technologies (hadoop, spark, etc.).
  • Exposure to any SQL and Relational Databases, Teradata.
  • Programming skills in a least one language used in the Big Data space e.g. Java, Python, Scala
  • Understanding of Data Warehouse/ETL concept/Big Data concepts
  • Data Mapping, Data Pipeline concepts
  • Understanding of ETL processes and practices (ideally having implemented an ETL system before)
  • Implementing pipelines which deals with any format of data
  • Data structures including time variant and dimensional models, algorithms, operating systems, and/or distributed systems.
  • Should have good Communication and presentation skills
  • B.E CS/IT or equivalent quantitative discipline or comparable industry experience
  • 0-2 years experience or knowledge in building frameworks associated with data mining, data warehousing and decisioning production systems (tools & services

Roles And Responsibilities-

  • You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA’s Values and People Capabilities.

Core Responsibilities

  • Understand our customers’ core business objectives and build end-to-end data centric solutions to address them
  • Contribute to thought leadership enabling analytics teams to deliver world class data centric solutions and analytics by championing sustainable and re-useable data products
  • Participate in the full lifecycle of agile projects (ideation through implementation)
  • Design and build group data products by integrating diverse data from hundreds of internal and external sources
  • Help to promote good coding standard and practices to ensure high quality and minimum risks
  • Support the design and construction of large-scale automated machine learning and data mining
  • Your ability to collaborate with peers along individuals with different experiences and backgrounds is key.
  • Operate within the CBA Group risk appetite and effectively manage strategic and operational risk related to data
  • Adhere to the Code of Conduct. The Code of Conduct sets the standards of behavior, actions and decisions we expect from our people.

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