Job Description

Database Management & Data Warehousing Strong proficiency in SQL (writing complex queries, performance tuning) Experience with relational ( MySQL , SQL Server) and cloud data warehouses ( Redshift , Big Query) Experience with data modeling (Star Schema, Snowflake Schema) Experience in data migrations/ data orchestration pipelines. Knowledge of ETL/ELT pipelines using tools like DBT , Apache Airflow, etc. Hands-on experience with cloud data warehouses ( Redshift , Big Query, Snowflake, Databricks) Reporting & Business Intelligence Skills Experience optimizing queries for BI tools to improve report performance. Knowledge of Reporting and visualization using tools like count.io , Looker, Tableau, Power BI, etc. Ability to collaborate with analysts & business teams to build efficient data models. Programming & Scripting Knowledge in Python (Pandas, PySpark) or Scala for data processing Knowledge of shell scripting for automation DevOps & CI/CD for Data Engineering Experience with version control (Git, GitHub, Bitbucket) Containerization (Docker, Kubernetes)