Remote (CANADA), United States of America
·
Fully Remote
Data Engineer
We are seeking an experienced Senior Data Engineer to join our team. In this role, you will take on a senior position in designing, building, and maintaining scalable data pipelines that are vital for our data-driven initiatives. You will collaborate with various teams to ensure our data infrastructure meets the highest standards of reliability and efficiency.
Key Responsibilities:
- Design, development, and maintenance of production-grade data pipelines.
- Optimize relational databases for efficient data storage and retrieval.
- Handle, process, and transform JSON data to meet diverse data needs.
- Collaborate with data scientists, analysts, and stakeholders to define data requirements and implement robust solutions.
- Troubleshoot, optimize, and scale data pipelines to ensure high performance and reliability.
- Document and maintain data architecture, processes, and best practices.
Must-Have Qualifications:
- 5+ years of experience in delivering production data pipelines.
- Advanced proficiency in Python for data processing and pipeline development.
- Extensive experience with JSON data and complex data structures.
- Deep understanding of relational databases and SQL.
- We require a very strong level of English communication skills, both written and verbal.
Nice-to-Have Skills:
- Experience with Node.js or JavaScript for additional data processing or integration tasks.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for data pipeline deployment.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) is a plus.
- Locations
- Remote (CANADA), United States of America
- Remote status
- Fully Remote
About Perform
Since 2005, Perform's engineers have been helping companies scale their apps and their teams. We were near-shoring before it was even a term and have worked with 100s of clients along the way.
Founded in
2005
Remote (CANADA), United States of America
·
Fully Remote
Data Engineer
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