Data Engineering Principal

3 weeks ago

Sydney, New South Wales, Australia Commonwealth Bank of Australia Full time
Job Title: Principal Data Engineer

We are seeking a highly skilled Principal Data Engineer to join our team at the Commonwealth Bank of Australia. As a Principal Data Engineer, you will be responsible for leading the technical strategy across technology initiatives and large and complex data engineering platforms and products.

Key Responsibilities:
  • Develop and implement data engineering solutions to drive business value and improve data delivery speed.
  • Lead technically to deliver proof of concepts and technical spikes, and provide technical ownership and direction of data assets.
  • Partner with key stakeholders to engineer improvements to the scaling and reliability of our services.
  • Provide advisory data engineering practice at an enterprise level and provide thought leadership and mentoring on data engineering principles and practices.
Requirements:
  • Over 5 years of experience at Principal/Staff data engineer level in large Banks/organizations.
  • Strong expertise in data-intensive environments, including databases, data lake houses, data warehouses, and data platforms.
  • Strong understanding of data delivery life cycle and associated concepts, including data analysis, data profiling, data design, data modeling, data ingestion, data cleansing, data extraction, data definitions/dictionary, data lineage mapping, data classification, data quality, etc.
  • Extensive experience in Big Data solutions using Cloudera Hadoop ecosystems, Teradata platform using Spark/TCF, and various ETL frameworks.
  • Experience with AWS Cloud platform and Snowflake.
  • Good understanding of Data management/Data governance processes and tools like Alation/Collibra.
  • Experience in data modeling concepts/frameworks, design patterns (FSLDM, IBM IFW DW, BIAN), and techniques such as Data Vault, Kimball, 3NF.
Skills:
  • Advanced skills in writing SQL scripts (Spark SQL or any RDBMS), scripting in Java or Python.
  • Advanced scripting skills in Java or Python.
  • Extensive experience in building data pipelines and ETL tools like Ab Initio.
  • Extensive experience in designing and developing ETL test scripts for structured and unstructured data.
  • Advanced skills testing solutions with large data volumes and complex data transformation rules.
What We Offer:

We offer a dynamic and inclusive work environment, opportunities for professional growth and development, and a competitive salary and benefits package.

We are committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or require additional support, please contact HR Direct on 1800 989 696.

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