Role : AWS Data Engineer

Type of role - Permanent Position

Location : Sydney, Australia

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Key Responsibilities

Design, develop, and maintain end-to-end data pipelines (batch and near real-time) on AWS Data Platform

Build and manage ETL/ELT workflows using AWS services (e.g., AWS Glue, S3, Redshift, Athena, EMR), dbt and orchestration tools such as Airflow

Implement data ingestion patterns from diverse sources (databases, APIs, files, event streams) into lake/warehouse layers such as raw, cleansed, and curated data layers

Develop transformation logic using SQL and Python/PySpark for cleansing, enrichment, and standardisation

Implement robust data quality checks, reconciliation controls, and monitoring/alerting for failures and anomalies

Collaborate with data analysts/data scientists to model datasets for analytics and machine learning consumption.

Contribute to DataOps/DevOps practices: version control, CI/CD, automated testing, release management, and operational support.

Produce and maintain technical documentation (data flows, mappings, job schedules, runbooks, and operational procedures)

Optimise Data Pipeline performance and Support workflow orchestration and scheduling

Support production deployments and operations

Required Skills & Experience





No of years’ experience as a Data Engineer

Advanced SQL skills

Hands-on experience working with Teradata and Siebel CRM data sets

Experience delivering data pipelines in a large-scale enterprise data platform environment

Strong hands-on AWS experience with common data services such as : Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR and dbt

Strong programming capability in Python and strong data transformation experience using PySpark (preferred) and/or Spark.

Advanced SQL skills (query optimisation, complex joins, window functions, performance tuning)

Experience with workflow orchestration tools such as Airflow

Solid understanding of data warehousing concepts (dimensional modelling, partitioning, incremental loads, CDC concepts).

Experience implementing monitoring, logging, alerting, and operational support processes.

Solid communication skills and ability to work with stakeholders to translate requirements into data deliverables

Telco Industry Experience is highly desirable

Interested candidate can share share their resume at [email protected] or call me on 61 283195529

📌 AWS Data Engineer (Sydney)
🏢 CareCone Group
📍 Sydney