About the role
- Strong expertise in SQL and data transformation techniques.
Experience in building and maintaining scalable ETL/ELT pipelines.
Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, Azure Synapse, or equivalent.
- Strong understanding of data modeling, dimensional modeling, and data warehousing concepts.
- Experience with orchestration tools such as Airflow and transformation frameworks such as DBT.Proficiency in Python for data processing and analytics.
- Ability to collaborate with business stakeholders, data scientists, and BI teams to deliver analytics solutions.
- Experience in data quality management, performance tuning, governance, and metadata management.