Senior Data Engineer

We are seeking an experienced and motivated Senior Data Engineer to join our AI & Automation team. The ideal candidate will have 5-8 years of experience in data engineering, with a proven track record of designing and implementing scalable data solutions. A strong background in database technologies, data modeling, and data pipeline orchestration is essential. Additionally, hands-on experience with generative AI technologies and their applications in data workflows will set you apart. In this role, you will lead data engineering efforts to enhance automation, drive efficiency, and deliver data driven insights across the organization.

• Design, build, and maintain scalable, high-performance data pipelines and ETL/ELT processes across diverse database platforms.
• Architect and optimize data storage solutions to ensure reliability, security, and scalability.
• Implement data modeling best practices and optimize data retrieval processes for better performance.

Qualifications

• Bachelor's or Masters degree in Computer Science, Information Technology, or a related field
• 5-8 years of experience in data engineering, designing and managing large-scale data systems.
• SQL Databases: PostgreSQL, MySQL, SQL Server
• NoSQL Databases: MongoDB, Cassandra
• Data Warehouse/ Unified Platforms: Snowflake, Redshift, BigQuery, Microsoft Fabric
• Experience with cloud platforms (preferably Azure)