Description

You will design, implement, and manage data pipelines and integration solutions across diverse systems.

Responsibilities

• Build ETL processes to extract, transform, and load data from various sources using modern engineering tools.
• Design data solutions for secure operational integration and system connectivity.
• Collaborate with architects, data scientists, and analysts on solution design and database modeling.
• Document technical solutions through code comments, flowcharts, diagrams, and architectural layouts.
• Research emerging technologies to improve data sourcing, cleansing, and integration methods.

Required Skills

• 3+ years of experience in data engineering, software engineering, or a related field.
• 2+ years of hands-on experience with SQL across relational platforms such as Microsoft, Oracle, Hana, or Postgres.
• 2+ years of experience with enterprise ETL/DW tools like Azure Data Factory, Redshift, or Informatica.
• Proficiency in programming languages including Python, C#, or JavaScript.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data modeling for warehouses, marts, and repositories.
• Knowledge of data integration, APIs, and business intelligence workflows.
• Bachelor's degree in Computer Science, Engineering, or a similar field.

Preferred Skills

• Experience with Docker for containerization.
• Experience with Kubernetes for orchestration.

Key Skills

Education

Bachelor's degree