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Job description

Role & responsibilities • 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. Preferred candidate profile

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