Description:

We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have a robust background in data engineering, with a focus on working with

Databricks, PySpark, Scala-Spark, and advanced SQL. This role requires hands-on experience in implementing or migrating projects to Unity Catalog, optimizing performance on Databricks

Spark, and orchestrating workflows using various tools.

Key Responsibilities:
Data engineering and analytics project delivery experience – Min. 2+ years
Minimum one project done in past of Databricks Migration (Ex. Hadoop to Databricks, Teradata to Databricks, Oracle to Databricks, Talend to Databricks etc)
Hands on with Advanced SQL and Pyspark and/or Scala Spark
Design, develop, and optimize data pipelines and ETL processes using Databricks and Apache

Spark.
Implement and optimize performance on Databricks Spark, ensuring effective data processing and management.
Develop and validate data formulation and data delivery for Big Data projects.
Collaborate with cross-functional teams to define, design, and implement data solutions that meet business requirements.




Conduct performance tuning and optimization of complex queries and data models.
Manage and orchestrate data workflows using tools such as Databricks Workflow, Azure Data

Factory (ADF), Apache Airflow, and/or AWS Glue.
Maintain and ensure data security, quality, and governance throughout the data lifecycle

Technical Skills:
Extensive experience with PySpark and Scala-Spark.
Advanced SQL skills for complex data manipulation and querying.
Proven experience in performance optimization on Databricks Spark across at least three projects.
Hands-on experience with data formulation and data delivery validation in Big Data projects.
Experience in data orchestration using at least two of the following: Databricks Workflow,

Azure Data Factory (ADF), Apache Airflow, AWS Glue.

Preferred Qualifications:
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with data governance and data security best practices.
Experience with other Big Data technologies and frameworks is a plus

📌 Data Engineer Databricks Melbourne
🏢 Celebal Technologies
📍 Melbourne