Data Engineer - Python / SQL

About the Role :

We are seeking a talented Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities :

• Data Pipeline Development : Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure : Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality : Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management : Able to handle team.
• Performance Optimization : Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration : Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection : Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation : Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

Skills :

Preferred Qualifications :

(ref : hirist.tech)