Lead Data Engineer

1 week ago


Brisbane, Queensland, Australia beBeeDataEngineering Full time $120,000 - $180,000
Job Description

We are seeking an accomplished Lead Data Engineer to spearhead the design, development, and optimization of data pipeline solutions on Databricks and related cloud platforms. This role will entail collaborating with cross-functional teams, including data scientists, analysts, and engineers, to deliver advanced analytics and business insights across various industries.


Key Responsibilities:
  • Collaborate with stakeholders to understand data requirements and develop effective pipeline solutions.
  • Contribute to data architecture and solution design, helping to build proof of concepts.
  • Design, develop, and maintain robust ETL/ELT pipelines on Databricks, utilizing AWS/Azure/GCP tools and services to ingest, process, and transform large datasets.
  • Implement data validation, cleansing, and governance procedures to ensure data quality, integrity, and security.
  • Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines, identifying opportunities to enhance performance, reliability, and cost-efficiency across our data systems.
  • Monitor data pipeline performance and promptly troubleshoot any issues or failures to ensure high data availability and consistency.

Requirements:
  • Proficiency in Python for data engineering, including PySpark and libraries like pandas/Polars, and SQL for data querying and transformation.
  • Solid understanding of data warehousing concepts and dimensional data modeling.
  • Hands-on experience with relational database systems and SQL, as well as familiarity with NoSQL databases for varied data storage needs.
  • Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
  • Proven experience working with multiple cloud data platforms, including AWS/Azure/GCP.
  • Expertise in Databricks and the Spark ecosystem for large-scale data processing.
  • Familiarity with data pipeline orchestration and automation tools, as well as CI/CD pipelines for deploying data workflows.

Benefits:
  • Competitive salary package and share plan.
  • Career coaching and global career opportunities.
  • Complex projects, rotations, and internal tech communities.
  • Hybrid work and flexible working hours.
  • Global wellbeing programme and access to wellbeing apps.

Additional Benefits:
  • Monthly lifestyle allowance for health and wellbeing activities.
  • Novated leasing for pre-tax car leasing benefit.
  • Loyalty leave policy with additional days off.
  • Inclusive parental leave policy.
  • Work-from-anywhere policy.

We value diversity, inclusivity, and respect, and welcome applications from people of all backgrounds, experiences, and perspectives. Hiring decisions are based on merit, skills, qualifications, and potential.



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