Description

You will design, build, and implement data integration solutions, pipelines, and ETL jobs across cloud and on-premises platforms.

This role is on-site.

Responsibilities

• Develop and maintain scalable data pipelines and ELT packages to handle increasing data volume and complexity.
• Integrate data from source systems into data lakes and fit-for-purpose repositories using dimensional models.
• Design and execute data migrations from legacy systems to support enterprise application implementations.
• Write functional specifications for data pipelines and APIs, including unit and integration testing.
• Perform data analysis to troubleshoot and resolve complex data-related issues.

Required Skills

• 8+ years of professional experience in data engineering.
• Extensive experience with ETL tools, specifically Azure Data Factory and Informatica.
• 3+ years of hands-on experience with Matillion and Snowflake.
• Expertise in SQL against both relational and cloud data structures.
• Experience building ETL processes to move data from disparate sources into data lakes and dimensional models.
• Proficiency in data profiling, data analysis, and building data quality metrics.
• Experience with reference data management tools such as EBX or Informatica MDM.
• Knowledge of AWS and cloud technologies.
• Experience working within Agile Software Development methodologies.

Preferred Skills

• Experience with data virtualization or Tibco Data Virtualization.
• No-SQL experience.

Key Skills

Education

Any Graduate