Posted:3 weeks ago|
Platform:
Remote
Full Time
Remote Job. Australia Client Excellent Commercials
Key Responsibilities:
* Design, develop, and maintain data pipelines and *ETL/ELT workflows using AWS and SQL.
* Optimize and manage large datasets using SQL,Delta Lake,and Apache Sparkon Databricks.
* Implement data solutions using AWS services such as S3, Glue, Redshift, Lambda, and Athena.
* Collaborate with analysts, data scientists, and stakeholders to understand data requirements and deliver reliable data solutions.
* Build and maintain data models (star/snowflake schema) and data marts to support reporting and analytics.
* Monitor data pipelines for performance, quality, and reliability using logging and alerting tools.
* Automate data workflows and orchestrate jobs using Airflow,Data bricks Workflows, or AWS Step Functions
* Ensure compliance with data governance, security, and privacy standards.
Required Skills & Qualifications:
5 + years of hands-on experience in a Data Engineering role.
* Strong command of SQLfor data transformation, analysis, and optimization.
* Proven experience with Databricks including PySpark, Delta Lake, and notebooks).
* Proficient in Python or Pyspark for data pipeline development.
* Strong experience with AWS data ecosystem: S3, Glue, Redshift, Lambda, Athena, EMRetc.
* Experience with data Modelling and schema design for analytics and reporting.
* Familiarity with version control (Git)and CI/CD practices for data engineering.
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