Role & seniority: Data & Databricks Test Automation Engineer; mid-level (2+ years hands-on Databricks/Spark experience)

Stack/tools: Databricks Spark, PySpark (Python), SQL, Delta Lake (including Delta Live Tables), Unity Catalog, AWS (S3, Glue, Lambda), Git, data testing frameworks/tools

Top 3 responsibilities

Design and implement automated testing for Databricks notebooks/workflows, Delta Lake tables, ACID transactions, and structured streaming
Automate testing of ETL/ELT pipelines, Spark job validation/optimization, data ingestion/processing, data transformations, and Unity Catalog governance
Define QA strategies, automated data quality checks, performance testing for large Spark jobs, and maintain test dashboards, metrics, and documentation

Must-have skills

2+ years with Databricks/Spark; strong Python (PySpark) and SQL
Experience with data testing frameworks/tools; AWS services (S3, Glue, Lambda)
Knowledge of Delta Lake, Lakehouse concepts, Git; data quality and governance basics; Agile experience

Nice-to-haves

Databricks certifications; Delta Live Tables experience
Governance/testing focus, experience with large-scale data processing, advanced performance optimization
Location & work type: Location and work-type not specified in posting; no explicit remote/on-site details provided

Full Description

Data & Databricks Test Automation Engineer Company Overview Citco is a global leader in financial services, delivering innovative solutions to some of the world's largest institutional clients. We are seeking a Test Automation Engineer specializing in Databricks and data platforms to ensure the quality and reliability of our data solutions. Role Description As a Data & Databricks Test Automation Engineer, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation. You will work closely with data engineering teams to ensure data accuracy and reliability across our Lakehouse architecture. Key Responsibilities

Databricks Testing

Design and implement automated testing for Databricks notebooks and workflows
Create test frameworks for Delta Lake tables and ACID transactions
Develop automated validation for structured streaming pipelines
Validate Delta Live Tables implementations

Data Pipeline Testing

Automate testing for ETL/ELT processes in Databricks
Implement Spark job testing and optimization validation
Create test cases for data ingestion and processing workflows
Develop automated checks for data transformations
Test Unity Catalog features and access controls

Quality Assurance

Design and execute data quality test strategies
Implement automated data reconciliation processes
Develop performance testing for large-scale Spark jobs

Monitoring & Reporting

Implement pipeline monitoring test frameworks
Create automated test dashboards
Generate quality metrics and testing reports
Maintain comprehensive test documentation
Requirements & Qualifications

Educational Background

Bachelor’s degree in Computer Science, Data Science, or related field
Relevant certifications in Databricks or data testing are a plus

Technical Experience

2+ years hands-on experience with Databricks (Spark)
Strong programming skills in Python (PySpark) and SQL
Experience with data testing frameworks and tools
Knowledge of AWS services (S3, Glue, Lambda)
Understanding of Delta Lake and Lakehouse architecture
Experience with version control systems (Git)