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Key Roles and Responsibilities• Design, build and maintain a modern data platform.• Develop transformation models using dbt and orchestrate pipelines via Airflow.• Optimize large-scale processing jobs in Apache Spark.• Tune and manage relational and analytical databases (PostgreSQL, Snowflake).• Architect and maintain schemas using Star Schema, 3NF, and SCD2 methodologies.• Design and support lakehouse architectures and scalable storage solutions.• Implement and enforce data governance, validation, and quality control mechanisms.• Maintain DevOps standards using CI/CD, GitFlow, and containerization tools like Docker and Ansible.Job Requirements• Advanced proficiency in SQL and ETL/ELT design.• Strong experience with dbt, Airflow, and Spark.• Deep understanding of data modeling techniques (Star Schema, 3NF, SCD2).• Proven ability to optimize and tune PostgreSQL and Snowflake for performance.• Familiarity with lakehouse architecture principles and tools.• Solid experience in data governance, validation frameworks, and pipeline monitoring.• Strong grasp of GitFlow, CI/CD pipelines, and containerization (Docker/Ansible).• Ability to work independently and collaborate across teams in a dynamic environment.
