CSK Nexus
Mid to Senior ETL Developer
- Compensation
- Not disclosed
- Location
- Melbourne VIC
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum of 3 years' working experience in the data & analytics domain
- Strong experience with ETL technologies such as Matillion, AWS Glue/Data Pipeline, SSIS or similar with a flair for building complex SQL queries
- Extensive experience with Python (preferably 3+ years) for automation and integration
- Demonstrated working knowledge of databases such as Redshift, SQL Server or PostgreSQL
- Good understanding of RDBMS principles, database design, and query optimisation
- Experience documenting ETL processes and data models (e.g. entity relationship diagrams)
- Strong data modelling skills with the ability to transform staged data into conformed models and BI Datasets
- Strong stakeholder engagement experience including requirements analysis, solution design, gap identification and ability to clearly communicate technical concepts
- Experience working with SAP CRM or Billing
- Knowledge of the utility industry highly desirable
- Strong analytical and interpretative skills
- Tertiary qualification in an IT related discipline
Full description
**About the role
**This role will involve development of data pipelines and data models to support the integration of new and existing data source systems used in business critical processes including operational reporting, analytics and support of Tableau data visualisation/reports.
Expert SQL skills with Redshift and Python capabilities who can cope and work in a fast-moving outcome-based delivery environment. This role requires a strong understanding of relational database concepts, database design, dimensional modelling and data warehousing, with exposure to systems such as SAP CRM and/or Billing.
The client is following a hybrid working model.
Typical Responsibilities
- Design, build and test data transformation jobs, including modelling of very large data sets.
- Design, engineer and support various ETL data loading patterns such as near real time, batch, historical and incremental.
- Write complex SQL queries to manage, manipulate and automate complex data feeds.
- Develop Python scripts to manage ETL jobs and orchestrate job schedules for near real time and batch
- Designing, developing, testing and supporting large scale data pipelines, including batch, incremental, historical and near real-time processing
- Identify and implement efficiencies and optimisation of data transformation using industry best practice methods and tools.
- Exceptional documentation authoring skills of business and technical documents including but not limited to Design specifications, Technical specifications, Requirements and Test documents.
- Collaborate and work with Stakeholders to understand business requirements and translate into technical specifications.
- Evaluate ETL requirements for completeness, accuracy, and feasibility.
- Ensure product assurance across all ETL processes by validating data accuracy, completeness, transformations, and end‑to‑end pipeline reliability before release to downstream systems.
- Conduct analysis to estimate project timeframes for deliverables.
- Contribute to the design and implementation of the ETL framework and data model.
- Ability to gather requirements but suggest alternative better solutions to stakeholders and end users.
- Integrate AI and automation into ETL workflows to enhance data validation, anomaly detection, pipeline optimisation, and operational efficiency.
- Distil complex information and be able to communicate simply and in language that non technical staff understand.
Skills and experience required
- Minimum of 3 years' working experience in the data & analytics domain
- Strong experience with ETL technologies such as Matillion, AWS Glue/Data Pipeline, SSIS or similar with a flair for building complex SQL queries