Senior AWS Data Engineer – Secure Pipelines & ML Enablement

The Recruitment Hive Pty Ltd

Sydney

Vor Ort

AUD 140.000 - 180.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

The Recruitment Hive Pty Ltd is seeking a Senior AWS Data Engineer in Sydney (Surry Hills) to design, build and maintain scalable data pipelines for analytics, ML and AI use cases. The role focuses on curated data products, data quality and efficient cloud workloads.

You will translate business requirements into robust technical designs, implement IaC with Terraform or CloudFormation, and deliver DevOps‑minded data solutions using Python and SQL in containerised environments such as Docker, ECS

Qualifikationen

  • Senior AWS Data Engineer with extensive AWS data integration experience.
  • Experience delivering data pipelines for analytics, ML/AI use cases.
  • Proficient in ETL/ELT patterns, data quality, metadata and lineage.
  • Hands-on in DevOps practices, including Git, CI/CD and automated testing.

Aufgaben

  • Design, build, test and maintain scalable data pipelines for analytics, ML and AI use cases.
  • Develop curated datasets and data products from structured and unstructured sources.
  • Productionise data preparation, feature engineering and model inputs/outputs pipelines.
  • Translate business requirements into technical designs.
  • Implement automated data quality controls.
  • Optimize SQL, Python and cloud workloads; apply IaC and CI/CD.

Kenntnisse

AWS Data Engineering
Data pipelines
Python programming
SQL optimization
Git & CI/CD
Terraform
CloudFormation
Docker
ECS/EKS
Snowflake
Databricks
Redshift
Spark
dbt
MLOps/DataOps
SAS Base Programming

Tools

S3
Glue
Lambda
Athena
EMR
Kinesis
Step Functions

Jobbeschreibung

The Recruitment Hive Pty Ltd is seeking a Senior AWS Data Engineer in Sydney (Surry Hills) to design, build and maintain scalable data pipelines for analytics, ML and AI use cases. The role focuses on curated data products, data quality and efficient cloud workloads.

You will translate business requirements into robust technical designs, implement IaC with Terraform or CloudFormation, and deliver DevOps‑minded data solutions using Python and SQL in containerised environments such as Docker, ECS

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