Job Description
We are hiring a hands-on Data Engineer to design, build, and optimize scalable data pipelines on Azure Databricks. This role is ideal for someone with strong experience in Spark, Scala, SQL, Python, and modern cloud-based data engineering platforms.
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Location: Sydney
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Key Responsibilities
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Design and develop scalable ETL/ELT pipelines using Azure Databricks, Spark/Scala, and SQL.
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Build data solutions following medallion architecture and Delta Lake best practices.
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Develop real-time and near real-time data integrations using Spark Streaming and Kafka.
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Operationalize data workloads through scheduling, CI/CD, Git-based workflows, secrets management, and observability.
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Collaborate with stakeholders to deliver reliable, high-quality data engineering solutions.
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Required Skills
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Robust hands-on experience with Azure Databricks.
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Proficiency in Scala Spark, SQL, and Python.
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Experience with data warehousing concepts and big data technologies.
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Exposure to Azure and/or AWS cloud platforms.
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Knowledge of Hive, Impala, Sqoop, Spark Streaming, Apache Kafka, or Confluent Kafka will be advantageous.
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Familiarity with CI/CD tools such as Azure DevOps, GitHub, Jenkins, Jira, or Confluence.
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Strong communication and stakeholder management skills.
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If you are passionate about building high-performing data platforms and enjoy solving complex data engineering challenges, we would love to hear from you.

📌 Data Engineer - Azure Databricks (New South Wales)
🏢 Tech Mahindra
📍 New South Wales