G12 - Data Engineer

We are looking for a highly skilled Data Engineer to solve complex data challenges, optimize production data pipelines, and enhance database performance. You will play a critical role in diagnosing and debugging data related issues, ensuring seamless data flow, and enabling data-driven decision-making. Key Responsibilities Diagnose and resolve data issues, production outages, and performance bottlenecks to maintain system reliability. Debug data job failures , including pipeline breakdowns and unexpected row data changes. Optimize database queries and monitor database health to improve efficiency and scalability. Develop workflows for automated data regeneration to maintain accuracy and consistency. Facilitate secure and efficient data access for analysis, balancing liberalization with compliance. Stay ahead of industry trends and recommend best-in-class data engineering technologies and practices. Work with the Data Lead and engineering team to implement optimal data ingestion and storage strategies. Design and build scalable, robust, and maintainable data pipelines in consultation with Data Lead using cutting-edge technologies. Requirements A minimum of 4 years relevant working experience is preferred. Strong proficiency in Python with extensive hands on experience using Pandas for data manipulation, transformation, and analysis of large datasets. Strong expertise in SQL performance tuning, database optimization, and query efficiency Hands-on experience in developing, deploying, and debugging robust data pipelines and ETL/ELT workflows in a production environment. Experience with at least one cloud platform (AWS, GCP, Azure) and data warehousing solutions. Strong problem-solving skills, especially in navigating ambiguous and unknown data issues. Excellent communication skills, with the ability to collaborate effectively with engineering and product teams.