Senior Data Engineer

We are seeking an experienced and motivated Senior Data Engineer to join our AI & Automation team. The ideal candidate will have 58 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. Leverage generative AI tools and models to enhance data engineering workflows, drive automation, and improve insight generation.
• Collaborate with cross-functional teams (Data Scientists, Analysts, and Engineers) to understand and deliver on data requirements.
• Develop and enforce data quality standards, governance policies, and monitoring systems to ensure data integrity.
• Create and maintain comprehensive documentation for data systems, workflows, and models. •
• Implement data modeling best practices and optimize data retrieval processes for better performance.
• Stay up-to-date with emerging technologies and bring innovative solutions to the team.

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
• Strong expertise in database technologies, including: - SQL Databases: PostgreSQL, MySQL, SQL Server , NoSQL Databases: MongoDB, Cassandra , Data Warehouse/ Unified Platforms: Snowflake, Redshift, BigQuery, Microsoft Fabric