Sr. Data Engineer

About the role

Ensure a continual and seamless service for customers regardless of which services they access. What will you be responsible for? Design, develop, and maintain end to end data pipelines and ETL/ELT workflows using Python, SQL, Azure Data Factory, Snowflake, Databricks, and related services.

What you'll do

• Ensure a continual and seamless service for customers regardless of which services they access. What will you be responsible for?
• Design, develop, and maintain end to end data pipelines and ETL/ELT workflows using Python, SQL, Azure Data Factory, Snowflake, Databricks, and related services
• Build scalable data ingestion frameworks to extract, parse, transform, and load structured, semi-structured, and unstructured data from files, APIs, databases
• Drive improvements in data architecture, performance tuning, optimization, and reduce technical debt across data systems
• Monitor, troubleshoot, and enhance existing data pipelines and systems; proactively resolve data issues and production defects

What you need

• 5–8 yrs of experience
• Snowflake
• SQL
• Python
• Azure
• ETL
• Databricks
• Any graduate

Good to have

• Machine learning
• LLMs
• Azure Data Factory
• Data modelling
• Data warehousing
• Power BI