Senior Data Platform Engineer (Remote)
Overview
Crystal Intelligence is looking for a Senior Data Platform Engineer to join our global engineering team. In this role, you will design and maintain scalable data systems, optimize data pipelines, and support advanced analytics across multiple platforms. This is a remote role, available as both contract and full-time, with a competitive salary.
Key Responsibilities
- Design, build, and optimize data pipelines and ETL workflows.
- Develop scalable data storage and processing solutions.
- Collaborate with data scientists and analysts on data requirements.
- Ensure data integrity, security, and compliance across platforms.
- Implement monitoring and performance tuning for big data systems.
Requirements
- 5+ years of experience in data engineering or related fields.
- Expertise in SQL, Python, and distributed systems (e.g., Spark, Hadoop).
- Experience with cloud platforms (AWS, GCP, or Azure).
- Proficiency in data warehouse solutions (Snowflake, Redshift, BigQuery).
- Strong problem-solving skills and ability to work remotely with a global team.
Why Join Crystal Intelligence?
- Competitive salary with flexible contract or full-time options.
- Work remotely with a global and innovative team.
- Opportunities to work on cutting-edge big data technologies.
- Collaborative and supportive work environment.
Frequently Asked Questions
Is this role remote?
Yes, this is a fully remote role with flexible working options.
What type of employment is offered?
The role can be taken as either a full-time position or on a contract basis.
What technologies will I work with?
You’ll work with big data tools such as Spark, Hadoop, Snowflake, Redshift, and cloud platforms like AWS, GCP, or Azure.
How do I apply?
You can apply by clicking the "Apply Now" button, which lets you send your CV directly via email to our recruitment team.
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