AWS Data Engineer

3 weeks ago


Melbourne, Victoria, Australia InfoCentric Full time

We are seeking a highly skilled AWS Data Engineer who is also comfortable performing analysis tasks. This role requires strong expertise in AWS, Databricks, Python, SQL, and Snowflake. You will play a key role in designing and implementing scalable data solutions while working closely with cross-functional teams to derive valuable insights from data. If you enjoy the blend of engineering and analysis, this position is perfect for you

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and infrastructure on AWS.
  • Work with Databricks to process, cleanse, and verify the integrity of data used for analysis.
  • Build and optimise data models on Snowflake for performance and scalability.
  • Write complex SQL queries to extract, manipulate, and analyse data.
  • Collaborate with data analysts and data scientists to deliver actionable insights.
  • Ensure data quality, security, and governance throughout the data lifecycle.
  • Troubleshoot and optimise performance of existing data systems and processes.

Qualifications:

  • At least 5+ years of proven experience as a Data Engineer with strong expertise in AWS (Lambda, S3, EC2, Redshift, etc.).
  • Proficiency in Databricks for data processing and transformation.
  • Strong programming skills in Python.
  • Expertise in SQL for querying large datasets.
  • Experience with Snowflake as a data warehousing solution.
  • Willingness to take on data analysis tasks as required.
  • Familiarity with data governance and security best practices.
  • Strong problem-solving and communication skills.
  • Experience working in a complex environments, particularly in banking or financial services sectors.

#MidLevel


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