About the role
In this role, you will design and implement scalable data pipelines to support analytics and reporting efforts. You will work closely with data scientists and analysts to ensure data availability and quality. This position is perfect for someone with a strong analytical mindset and a passion for working with data in a fast-paced environment.
You’ll have the chance to contribute to innovative financial solutions while working remotely. The team values collaboration and encourages continuous learning and development.
What you'll do
- Build and maintain scalable data pipelines
- Ensure data quality and accessibility
- Collaborate with data scientists on analytics projects
- Optimize data architecture
What you'll need
- Bachelor's degree in Computer Science or related field
- 2-4 years of experience in data engineering
- Strong SQL and Python skills
Skills
Experience with ETL tools
Familiarity with cloud data solutions
Knowledge of data warehousing concepts
Good to have
Experience with Big Data technologies (Hadoop, Spark)
Knowledge of machine learning concepts
Benefits
- Competitive hourly rate
- Flexible working hours
- Remote work opportunities
Interested in this role?
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Questions about this job
What kind of projects will I work on?
You will work on building and optimizing data pipelines for analytics and reporting.
Is this a remote position?
Yes, this role is fully remote.
What programming languages are preferred?
Proficiency in SQL and Python is required, and experience with Spark is a plus.
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