
Senior Data Engineering Expert
3 days ago
We are seeking a highly skilled and experienced Senior Data Engineer to join our team. This is an exciting opportunity for someone with deep technical expertise in ETL pipeline design, data modeling, and data infrastructure who thrives in a fast-paced engineering-driven environment.
The ideal candidate will have advanced proficiency in SQL and ETL/ELT design, strong experience with dbt, Airflow, and Spark, and a deep understanding of data modeling techniques (Star Schema, 3NF, SCD2). They will also be able to optimize and tune PostgreSQL and Snowflake for performance, and maintain DevOps standards using CI/CD, GitFlow, and containerization tools like Docker and Ansible.
Key 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
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
Preferred Qualifications:
- 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
What We Offer:
- Competitive salary and performance-based incentives
- Flexible working hours and remote-first culture
- Opportunity to shape and scale a modern data platform
- A collaborative, engineering-led environment where your voice matters
We offer a competitive salary and performance-based incentives, flexible working hours, and a remote-first culture. You will have the opportunity to shape and scale a modern data platform, and work in a collaborative, engineering-led environment where your voice matters.
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