Sr Data Engineer

Responsibilities:

• Building data architectures, and data pipelines to collectively bring together data.
• Designing solutions using Microsoft Azure services and other tools.
• Assuring that data is cleansed, mapped, transformed, and optimized for storage and use according to business and technical requirements
• Automating tasks and deploying production standard code.
• Loading transformed data into storage and reporting structures such as data warehouses, real-time reporting systems and analytics applications.

Requirement:

• Experience in data engineering and cloud data processing services.
• Hands on Experience in Data Warehousing & ETL tools.
• Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
• Knowledge of SQL and Python/PySpark.
• Open mindset, ability to quickly adapt to new technologies and learn new practices.

Key Skills:

• Knowledge of data warehousing and ETL processes.
• Programming languages.
• Java, Python, R, Scala.
• Big data, cloud computing and leadership skills.