
Data Solutions Developer
1 week ago
Data Engineers design and develop large-scale data systems that process and store data efficiently.
Key Responsibilities:
- Design and implement scalable data pipelines using modern cloud and big data platforms.
- Develop and maintain high-quality code in Python, PySpark, and SQL to ensure efficient data processing.
- Work with various technologies including AWS, ETL, Databricks, Redshift, Snowflake, REST APIs, containerization, and orchestration tools.
- Collaborate with cross-functional teams to identify business needs and develop data solutions.
- Excellent communication and collaboration skills are essential for this role.
Essential Qualifications:
- 3-6 years of experience in building data pipelines and working on modern cloud and big data platforms.
- Strong expertise in Python, SQL, PySpark, Bash scripting, and knowledge of ML lifecycle & libraries.
- Familiarity with CI/CD, Git, and containerization is required.
- Hands-on experience with Databricks, Delta Lake, Workflows, CLI, Job Clusters, Workspace, and Cloud Data Warehousing is necessary.
What We Offer:
- Opportunity to work with a talented team of professionals.
- Chance to develop skills in emerging technologies.
- Competitive compensation package.
How to Apply:
- Sending your resume and cover letter to the provided email address.
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