Job Description

Role -Databricks Data Engineer Senior Analyst

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About the Role

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We are seeking experienced Databricks Data Engineers to join our Data & AI. You will play a pivotal role in designing, developing, and maintaining scalable data pipelines and transformation workflows on Azure Databricks, enabling advanced analytics and data engineering initiatives.

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Key Responsibilities

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- Design, develop, and optimize scalable data ingestion pipelines using Azure Data Factory, Databricks, and Apache Spark.
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- Build and maintain Databricks notebooks using PySpark for data preparation, transformation, and enrichment to support Data Science use cases.
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- Collaborate closely with Data Scientists to understand data requirements and ensure timely delivery of clean, structured datasets.
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- Implement data quality checks, validation rules, and monitoring mechanisms.
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- Integrate data from various sources including structured, semi-structured, and unstructured formats.
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- Ensure data security, governance, and compliance with banking regulations.
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- Optimize Spark jobs for performance and cost-efficiency in Azure.
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- Participate in code reviews, design discussions, and agile ceremonies.
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- Document data pipelines, workflows, and technical decisions.
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Required Skills & Qualifications

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Technical Skills

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- Experience in data engineering, with at least 2+ years hands-on experience in Azure Databricks.
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- Robust proficiency in Apache Spark, especially PySpark for distributed data processing.
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- Experience with Azure Data Factory, Azure Synapse, Azure Blob Storage, and Delta Lake.
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- Solid understanding of ETL/ELT processes, data modeling, and data warehousing concepts.
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- Proficiency in Python and/or Scala for data processing.
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- Experience with CI/CD pipelines using tools like Azure DevOps, Git, and Terraform (preferred).
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- Familiarity with SQL, NoSQL, and data lake architectures.
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- Knowledge of data governance, security, and compliance in financial services.
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Soft Skills

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- Strong analytical and problem-solving skills.
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- Excellent communication and stakeholder management abilities.
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- Ability to work collaboratively in cross-functional teams.
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- Agile mindset and experience working in Scrum/Agile environments.
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Preferred Qualifications

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- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
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- Databricks Certified Data Engineer Associate/Professional certification is a plus.
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- Experience working in banking or financial services domain is highly desirable.
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- Australian citizenship is required, and candidates must be eligible to obtain security clearance.
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- Location is flexible across Brisbane, Sydney, and Melbourne.
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📌 Databricks Data Engineer Senior Analyst - Avanade (Queensland)
🏢 OpenTalent
📍 Queensland