7–9 years of experience in Data Engineering. Strong hands-on experience with Snowflake, dbt, Airflow, Databricks, Redshift, Palantir. Deep knowledge of data warehouse and lakehouse architectures, including Medallion Architecture. Experience with ETL and ELT processes. Strong background in dimensional data modeling (Kimball methodology). Advanced SQL skills. Solid experience with relational databases. Hands-on experience with Agile methodologies, CI/CD, and DevOps practices. Proven experience designing and delivering AWS-based solutions, including cost management. Excellent verbal and written communication skills. Strong client-facing experience. Ability to work independently and lead projects end to end. Proactive, solution-oriented mindset with strong ownership. Strong collaboration, leadership, and mentoring abilities.