Description

You will design and implement data engineering solutions using ETL tools and cloud-based data warehouses.

Responsibilities

• Develop and maintain data pipelines using DataStage and SQL.
• Write and optimize complex PL/SQL scripts and UNIX shell scripts.
• Implement data modelling techniques to support business requirements.
• Manage code versions using Git or SVN.
• Work within Agile frameworks to deliver data integration projects.

Required Skills

• 5+ years of experience in data engineering.
• Expert-level proficiency in SQL.
• Hands-on experience with DataStage.
• Strong knowledge of PL/SQL and UNIX.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with cloud data warehouses like Snowflake, BigQuery, Redshift, or Synapse.
• Experience with ETL/ELT tools including Matillion, Glue, or Data Factory.
• Proficiency with version control systems like Git or SVN.
• Any Graduate degree.

Preferred Skills

• Experience with Matillion and Snowflake.
• Working knowledge of AWS environments.

Key Skills

Education

Any Graduate