Staff Data Engineer
Commonwealth Bank of Australia (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and govern scalable, secure data platforms supporting enterprise analytics, real-time data, and AI use cases.
- Lead end-to-end data engineering strategies including data architecture, ETL processes, and integration patterns to deliver measurable business outcomes.
- Provide technical leadership, mentorship, and ownership of technical assets while ensuring alignment with engineering standards and operational reliability.
Minimum Requirements
- 10+ years of design or development experience in Analytics and Data Warehousing projects.
- Bachelor’s or Master’s degree in Engineering with Computer Science or Information Technology specialization.
- Proficiency in big data technologies such as Apache Spark, Scala, AWS data pipelines, Python/PySpark, Oracle SQL/PL-SQL.
- Work Experience Required: 10+ years in relevant data engineering roles.
Ideal Candidate Profile
- Experienced in building and optimizing end-to-end data pipelines in AWS cloud and big data ecosystems involving real-time and batch processing tools like Kafka and Apache Flink.
- Demonstrates technical leadership with capability to drive engineering maturity, reusable frameworks, and cross-team collaboration in complex banking environments.
- Hands-on expertise in advanced SQL performance tuning, data modeling, Teradata, Cloudera Hadoop along with exposure to AI/GenAI integrations and automation frameworks.