Test Lead - Data

Understanding how to create and manage ETL Test pipelines, data flows, and transformations is essential.

Proficiency in Python or similar programming is crucial for scripting and automating data-related tasks.

This includes data quality framework, data reconciliation, regression pack, and data Ingestion/transformation operations.

Knowledge of popular Python libraries such as pandas and PySpark will be advantageous. 

Strong SQL, T-SQL, Store Proc skills are necessary to query and manipulate data efficiently.

Familiarity with various Azure data services such as Azure Data Lake Storage, Azure SQL Database, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

Familiarity with data warehousing concepts, including dimensional modeling, star schema, and snowflake schema. Understanding how data is structured and organized in a data warehouse environment.

Proficiency in data visualization tools like Power BI to create interactive and meaningful visualizations of data for reporting and analysis purposes.

The ability to identify and resolve issues related to data pipelines, transformations, and data quality problems.

Strong problem-solving and troubleshooting skills will be necessary to ensure the accuracy and reliability of data processes.

Understanding Azure DevOps & Test Plan tools and processes for continuous integration, and continuous deployment.

Excellent communication skills are vital for collaborating with cross-functional teams, including data engineers, data scientists, and business stakeholders.