The role involves developing ETL/ELT pipelines and managing data migration projects using Azure Databricks. You will be responsible for optimizing SQL performance and ensuring data reconciliation across complex data environments.

Requirements

Candidates must have proven experience with Azure Databricks, Unity Catalog, and Data Lakehouse architecture. Proficiency in PySpark, Spark SQL, and experience with GCP BigQuery migration are essential requirements.

Experience

5 to 10 years

Working hours

40 hours per week

Job type

Contract

Work arrangement

On-site

Skills

Azure Databricks
Unity Catalog
Data Lakehouse Architecture
PySpark
Spark SQL
ETL/ELT Development
Azure Data Lake Storage
Git
CI/CD
SQL Optimization
Performance Tuning
Data Migration
Reconciliation Frameworks
GCP BigQuery

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Unity Catalog
Data Lakehouse
PySpark
Spark SQL
ETL
ELT
ADLS
Git
CI/CD
SQL Optimization
Performance Tuning
Data Migration
Reconciliation Frameworks
GCP BigQuery
Data Engineering
Cloud Computing
IT Services

Original job description

Proven experience with Azure Databricks, including Unity Catalog and Data Lakehouse Architecture.
Strong proficiency in PySpark and Spark SQL.
Expertise in ETL/ELT Development.
Experience with Azure Data Lake Storage (ADLS).
Familiarity with Git and CI/CD practices.
SQL Optimization and Performance Tuning skills.
Experience in Data Migration and Reconciliation Frameworks.
GCP BigQuery Migration Experience is essential.

Apply by Oct 16, 2026

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