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Open nowFirst seen 40 hours ago

Senior Azure Data Engineer – Databricks -Sydney Only

Thehrally Com64 open roles

Where
Sydney, New South Wales, Australia
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Your applicationOpen nowSenior Azure Data Engineer – Databricks -Sydney OnlyThehrally Com · Sydney, New South Wales, Australia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Thehrally Com's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Thehrally Com postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 40 hours ago

Thehrally Com median: 1 days open

The posting

Senior Azure Data Engineer– Databricks

Experience: 8+ Years

Technology Focus: Azure | Databricks | PySpark | Python | SQL | Data Engineering

Role Overview

We are looking for an experienced Senior Azure Data Engineer / Lead with 8+ years of software/data engineering experience and strong expertise in Azure, Databricks, Python, SQL and Apache Spark.

The ideal candidate will have hands-on experience designing and developing complex data pipelines, distributed data processing solutions, ETL frameworks and large-scale data platforms within Agile environments.

Key Responsibilities & Requirements

  • 8+ years of experience in software/data engineering and development, preferably within Agile environments.
  • Strong hands-on expertise in Python and SQL; Java experience is an advantage.
  • Design, develop and optimize complex data pipelines and ETL workflows.
  • Strong experience with Apache PySpark, Databricks, Azure Synapse, Azure Data Factory (ADF) and Azure Functions.
  • Hands-on experience with data modelling, data warehousing and large-scale ETL architectures.
  • Experience working with MS SQL, ADLS Gen2 and NoSQL/data storage technologies.
  • Good understanding of object storage and Big Data architectures, particularly Azure Data Lake Storage Gen2.
  • Experience managing and optimizing distributed systems and clusters for large-scale/batch data processing.
  • Knowledge of MLOps architecture and practices.
  • Strong understanding of modern data modelling concepts and enterprise data warehouse architecture.
  • Familiarity with Azure DevOps, Git and modern CI/CD practices.
  • Good knowledge of ETL and data warehousing methodologies.
  • Informatica experience is an advantage.
  • Ability to work closely with architects, developers, data teams and business stakeholders in an Agile environment.
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