Description

You will build and maintain data pipelines and data infrastructure.

Responsibilities

• Design and implement data models using dimensional modelling techniques.
• Develop and optimize ETL/ELT processes using cloud data warehousing tools.
• Manage and scale big data workloads using Spark and related technologies.
• Ensure data quality and adherence to data warehousing best practices.

Required Skills

• Minimum 5 years of experience in modern data engineering/data warehousing/data lakes on cloud platforms.
• 10+ years of proven experience with SQL, schema design, and dimensional data modelling.
• Expert proficiency in SQL.
• Hands-on experience with ETL/ELT tools such as ADF, Informatica, or Talend.
• Experience with data warehousing platforms including Snowflake, Google Big Query, Azure Synapse, or Amazon Redshift.
• Strong experience with big data tools like DataBricks and Spark, specifically using PySpark and Spark SQL.
• Proficiency in Python.
• Experience with Microsoft Azure Fabric and Azure Data Bricks.
• Any Graduate degree.

Key Skills

Education

Any Graduate