Related skills
azure aws sql python gcp📋 Description
- Develop, maintain, and optimize data pipelines for analytics and ML workloads.
- Ensure reliability, scalability, and performance of data workflows.
- Implement data ingestion from internal and external sources.
- Build and maintain Databricks-based data pipelines and workflows.
- Monitor, debug, and optimize data pipelines for efficiency.
- Develop tools to automate data operations and ensure data quality.
🎯 Requirements
- 2-4 years of experience in Data/Analytics Engineering or related field.
- Experience building and maintaining data pipelines and ETL/ELT workflows.
- Proficiency in Python and SQL for data processing and transformation.
- Experience with Databricks, Spark, or similar distributed data platforms.
- Familiarity with data ingestion from APIs, databases, or cloud storage.
- Experience with cloud platforms such as AWS, Azure, or GCP.
🎁 Benefits
- Competitive Salary
- Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
- Coworking Office Subscription for Collaborative Spaces
- Health, Dental, and Life Insurance Coverage*
- Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs
- Paid Parental Leave to Support Quality Time with Your Loved Ones
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!