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3 days ago
We are on the lookout for a seasoned Senior Data Engineer to spearhead our cutting-edge data platform.
This role is ideal for an individual with in-depth technical expertise in ETL pipeline design, data modeling, and data infrastructure who thrives in a dynamic, engineering-driven environment.
You'll be responsible for working across the entire data stack—from ingestion and transformation to orchestration and delivery—playing a pivotal role in scaling our analytics and reporting capabilities.
Responsibilities:- Design and implement efficient, scalable ETL/ELT pipelines and data flows
- 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
- 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 fast-paced environment
- Hands-on experience with cloud platforms (AWS, GCP, Azure)
- Familiarity with IaC tools and DevOps best practices
- Experience working in regulated or enterprise environments with strict data governance policies
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