Data Engineer_103421

Company:A Large Global Organization

Key Skills: Azure, Python, SQL, Data Warehouse, Data Bricks, Teradata, Pyspark

Roles and Responsibilities

• Gather and analyze business requirements and translate them into data engineering deliverables.
• Design and implement new data sources, warehouse changes, and import/export processes.
• Develop and maintain SQL-based data processing logic and database procedures.
• Build proof-of-concepts and support functional validation with business teams.
• Investigate complex data issues and improve existing data processing workflows.

Skills Required

• 3 to 5 years of experience in data engineering, data processing, or data warehousing roles.
• Strong hands-on experience with SQL, Teradata, and data warehouse concepts.
• Experience with Azure-based data platforms and Databricks in enterprise environments.
• Ability to work with large datasets, warehouse structures, and data processing logic.
• Experience with ETL workflows, database procedures, and version control tools.

Good to Have

• PySpark, Unix/Linux, Python libraries such as Numpy and Pandas, and Agile/Scrum exposure.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.