Data Engineer

• Design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, and Spark.
• Design, build, and optimize data pipelines and ETL processes for large-scale data ingestion and transformation.
• Develop and maintain data platforms and warehousing solutions to support analytics and business intelligence needs.
• Implement scalable data storage solutions and ensure high availability and performance.
• Enhance performance in data processing workflows for maximum speed and scalability.
• Collaborate with data scientists, analysts, and stakeholders to understand business needs and translate them into data engineering solutions.
• Ensure data quality, governance, and compliance across all systems.
• Support CI/CD processes for data pipeline deployments and implement best practices in DevOps for data workflows.
• Conduct code reviews and enforce best practices in version control, automation, and testing.
• Assist with defining structured source code management and deployment processes.
• Work with and support Technical Leaders in project execution and timely delivery.
• Collaborate with client teams.

Senior Data Engineer

Manager, Data Engineer

Senior Data Engineer

Data Engineer

Senior Data Engineer

Junior Data Engineer