Staff Data Engineer

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things

Job Title: Staff Data Engineer

Location: Bangalore-Manyata Tech Park (Hybrid)

Business & Team: Corp Tech

Impact & contribution:

As a Staff Data engineer with expertise in software development / programming and a passion for building data-driven solutions, you’re ahead of trends and work at the forefront of Big Data and Data warehouse technologies.

Which is why we’re the perfect fit for you. Here, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers’ most complex data-centric problems.

Roles and Responsibilities

• Possess commendable experience in consistently driving cost effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals is essential.

• Provides thought leadership and contributes to the design of technical solutions and consumption patterns, including data security and data management.

• Responsible for technical governance, implementation, risk management and adoption for programs of work.

• Provide technical leadership and mentor other engineers in Agile teams delivering project work or initiative.

• Have a natural drive to educate, communicate and coordinate with different internal stakeholders and consultants.

• Are experienced in providing data driven solutions that source data from various enterprise data platform into AWS Cloud Big Data environment, using technologies like Spark/EMR, MapReduce, Athena/Hive, Sqoop, Kafka; transform and process the source data to produce data assets; and transform and egression to other data platforms like Teradata or RDBMS (Redshift). 

• Are experienced in building effective and efficient Big Data and Data Warehouse frameworks, capabilities, and features, using common programming language (Scala, Java, or Python), with proper data quality assurance and security controls.

• Are experienced in designing, building and delivering optimised enterprise wide data driven solutions in the Cloud to build various enterprise data platform into AWS platform using technologies like S3, EMR, Glue, Iceberg, Athena, Kinesis or MSK/Kafka; transform and process the data to produce data assets for Redshift / PostgresSQL (RDBMS) and DocumentDB / MongoDB (NoSQL).

• Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.

 Essential skills

• Proficiency in programming languages like Python, Scala or Java for developing data ingestion and transformation scripts.

• Experience in designing, building, and delivering enterprise-wide data ingestion, Transformation and data pipeline frameworks in Big Data and Data Warehouse platform. 

• Preferably with at least 7+ years of hands-on experience in a Data Engineering role.

• Ability to design solutions to meet the highest possible quality standards while simultaneously balancing security, performance, availability, and maintainability concerns

• Experience in building data solution in Hadoop platform, using Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data processing and storage (HDFS Parquet, ORC, JSON, etc.).  Preferably with at least 7+ years of hands-on experience.

• Experience in building data solution using AWS Cloud technology (EMR, Glue, Iceberg, Kinesis, MSK/Kafka, Redshift/PostgresSQL, DocumentDB/MongoDB, S3, etc.).  Preferably with 3+ years of hands-on experience and certified AWS Data Engineer Associate.

• Expertise in DevOps, CI/CD pipelines, scheduling tools, logging and monitoring tools (TeamCity, Octopus, GitHub, GitHub Actions, Artifactory, Snyk and Sonarqube)

• Familiarity with observability tools (e.g., App Insights, Datadog, CloudWatch)

• Possess ability to produce conceptual, logical and physical data models using data modelling techniques such as Data Vault, Kimball, 3NF, etc.

• Demonstrate expertise in design patterns (FSLDM, IBM IFW DW) and data modelling frameworks including dimensional, star and non-dimensional schemas.

• Strong Unix/Linux Shell scripting and programming skills in Scala, Java, or Python.

• Proficient in SQL scripting, writing complex SQLs for building data pipelines.

• Good Understanding of Distributed system and computing

• Good to have hands on experience on Performance Tuning

• Should be aware of AGILE processes and methodologies

• Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS system is a plus.

• Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS Data Practitioner/Architect, Ab Initio is a plus.

• Experience in Ab Initio software products (GDE, Co>Operating System, Express>It, etc.) is a plus.

• Having experience in Prompt Engineering / Gen AI Adoption/ Platform Engineering / Knowledge Engineering disciplines is highly desirable

Education Qualifications:

• A degree in Engineering / Computer Science or a related discipline