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Building Scalable Data Platforms
2 weeks ago
We are seeking a skilled professional to design, implement, and maintain scalable data platforms using open-source technologies.
The ideal candidate will have expertise in PostgreSQL and hands-on experience in building data warehouses and data lakes.
Responsibilities:
- Designing and implementing a PostgreSQL-based data warehouse for analytics and reporting.
- Developing and managing data pipelines for ingestion, transformation, and storage.
- Architecting and maintaining a data lake on AWS infrastructure.
- Optimizing queries, indexing, and schema design for performance and scalability.
Requirements:
To succeed in this role, you should have:
- 3+ years of hands-on experience in data engineering or data platform development.
- Expertise in PostgreSQL: advanced SQL, query optimization, schema design, and data modeling.
- Strong experience building ETL/ELT pipelines using Python or open-source frameworks.
- Proficiency with AWS services (S3, Glue, Athena, Redshift Spectrum, Lambda).
Preferred Qualifications:
The following skills are highly desirable:
- Exposure to DBT, Snowflake, or Databricks for hosted data warehousing.
- Experience with infrastructure-as-code tools (Terraform, CloudFormation).
- Knowledge of data governance and cataloging tools.
Benefits:
You will enjoy working in a collaborative environment with opportunities for growth and mentorship from senior leaders.
This is a great opportunity to develop your skills and contribute to the success of our organization.
