Lead Data Engineer

Description: Lead the design and delivery of scalable data pipelines and solutions using Snowflake, Apache NiFi, and dbt. Translate business and data requirements into technical designs and data flows, ensuring data quality and security. Collaborate with various teams to align designs and delivery outcomes while maintaining technical documentation. Lead Data Operations support, coordinate priorities, and mentor colleagues in engineering practices. Requirements: Bachelor's degree in computer science, engineering, or related field; 10+ years of data engineering experience. Strong experience with Snowflake, AWS, Azure, or GCP, including solution design and performance tuning. Proficient in dbt, SQL, Python, and Git-based development practices. Experience designing ETL/ELT solutions and applying data modeling and quality practices. Benefits: Comprehensive medical coverage for employees and family, with additional top-up options. Employer contribution to provident fund and performance-based incentives up to 5% of base salary. Flexible work model transitioning to hybrid, with generous paid leave entitlements. Continuous learning culture with access to upskilling programs and career growth opportunities.