• Experience: Minimum of 4-15 years of experience as a Data Engineer in complex, large-scale data environments. • Certification: GCP ( or equivalent AWS or Azure), Databricks Associate/Professional certification, MongoDB certification, Snowflake SnowPro certification, or other relevant certifications in data engineering) or big data technologies. • Soft Skills: Strong problem-solving skills, excellent communication, and the ability to work in a collaborative team environment. • Analytical Mindset: Ability to translate business requirements into scalable, efficient, and reliable ETL solutions. • Knowledge on AI/ML/GEN AI is desirable