
Data Solutions Architect
2 weeks ago
At the heart of our organization lies a shared vision: to empower people and businesses to progress and thrive. As a key member of our team, you will play a pivotal role in driving this mission forward.
Job Title: Data Engineer
Location: Bangalore
Business & Team: Institutional Banking & Markets Technology
Impact & contribution:
As an Engineer, you will be required to build strong working relationships with key business stakeholders to improve outcomes, drive engineering standards across the group, identify opportunities to enhance our technical solutions, while improving end-to-end processes to drive better technical outcomes.
Roles & Responsibilities:
You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's values
Core Responsibilities
- Understand customer objectives and design data-centric solutions to address them.
- Lead or participate in the definition, execution and communication of ETL strategy and technical solution.
- Cooperate with users, other staff and infrastructure teams to ensure adherence to guidelines, restrictions and requirements as well as industry standards.
- Participate in agile project lifecycle (ideation through implementation)
- Design technical solutions and consumption patterns for business requirements, leveraging approved delivery frameworks
- Adhere to Code of Conduct. The Code sets the standards of behaviour, actions and decisions we expect from our people.
- Influence and guide stakeholders to ensure that solutions are robust, secure and highly available
- Uplift the quality of technical solutions by applying industry best practice
- Contributor to delivery planning, providing guidance to ensure that technical deliveries are aligned to engineering direction and strategy.
- Role model continuous improvement mindset in team and project interactions
- Demonstrate strong mentorship capabilities by actively coaching and guiding team members, fostering their growth and enabling continuous learning and development.
Essential Skills and Qualifications:
- Hands-on experience in ETL pipeline building with spark or scala programming framework and knowledge in developing UNIX Shell Script, Oracle SQL/PL-SQL, Cloudera Hadoop (Apache Spark, Hive) and Autosys JIL.
- Experience in Big data platform for ETL development with AWS cloud platform.
- Proficiency in AWS cloud services, including EC2, S3, Lambda and Cloud Watch
- Having hands-on experience with Teradata data warehouses and proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau
- Strong interpersonal & communication skills
Well-regarded Skills and Behaviours:
- Experience with Oracle SQL database performance tuning, and relational model analysis.
- Experience in working within a Data Delivery Life Cycle framework & Agile Methodology
- Experience working with Snowflake
- Python-based framework development
- Knowledge of using AI tool e.g. Roo/Cline etc.
- Self-starter, autonomous working
- Problem solving – advanced conceptual, analytical and problem-solving skills to analyses complex information for key insights and present as meaningful information to senior management
Education/Qualifications:
- Bachelor's degree in engineering in Computer Science/Information Technology
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