
Data Engineer
2 weeks ago
- 7-10 years experience in design, architecture or development in Analytics and Data Warehousing.
- Experience in building end-to-end solutions with the Big data platform, Spark or scala programming.
- 5 years of Solid experience in ETL pipeline building with spark or sclala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL.
- Experience in Big data platform for ETL development with AWS cloud platform.
- Proficiency in AWS cloud services, specifically EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, Secret Manager, Step functions, SQS, SNS, Cloud Watch.
- Excellent skills in Python-based framework development are mandatory.
- Should have experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis.
- Extensive experience with Teradata data warehouses and Cloudera Hadoop. Proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau, OBIEE, SAS, Apache Spark, Hive
- Analytics & BI Architecture appreciation and broad experience across all technology disciplines.
- Experience in working within a Data Delivery Life Cycle framework & Agile Methodology.
- Extensive experience in large enterprise environments handling large volume of datasets with High SLAs
- Good knowledge in developing UNIX scripts, Oracle SQL/PL-SQL, and Autosys JIL Scripts.
- Well versed in AI Powered Engineering tools like Cline, GitHub Copilot
- Experience in solution design would be good.
- Self-starter, autonomous working
- Strong analytical skills and Strong interpersonal & communication skills
- Be creative, innovative, pro-active in terms of finding solutions
Skills
- Problem solving advanced conceptual, analytical and problem-solving skills to analyze 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.
Your QualificationsRole & responsibilities
Essential:
- Bachelor's in computer science, B. Tech IT, Mathematics, Statistics or equivalent quantitative discipline or comparable industry experience.
Desirable:
- Experience across Enterprise BI/Big Data/DW/ETL technologies such as Teradata, Hadoop, Tableau, SAS, Hyperion or Business Objects.
- Prior experience on Banking Domain / Financial Services related projects would be a great value add.
- Hands on experience on Ab Initio is highly desirable.
- Good to have experience in Python.
- Exposure to JIRA/ Confluence would be beneficial.
- Experience in CI/CD, Test Automation
Additional industry or product certification
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