Remote Snowflake Data Engineer
About The Position
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Snowflake Data Engineer. In this role, you will be responsible for creating and managing data pipelines that support data integration and transformation processes. You will have the opportunity to work with advanced analytics tools and methodologies, contributing significantly to our data management strategies. Your expertise will help your team refine data-driven insights, enhancing overall business performance. This role requires strong collaboration with data science, operations, and engineering teams to streamline data handling and reporting. If you are passionate about data architecture and enjoy working remotely, this position is for you.
Requirements
- At least 8 years of IT experience and 4 years in data management disciplines
- Strong experience with analytics tools using R, Python, Java, etc.
- Ability to design and manage data pipelines and architectures
- Experience with SQL, Blob Storage, and SAP HANA
- Proficient in various data integration technologies like ETL/ELT
- Strong skills in streaming technologies like Kafka
- Experience with BI tools such as Tableau and Power BI
- Familiarity with cloud services and containerization (Docker, Kubernetes)
- Ability to prioritize tasks and manage time effectively
- Strong leadership and communication skills
Responsibilities
- Build data pipelines for various data structures
- Drive automation through effective metadata management
- Learn and apply modern data preparation and integration techniques
- Track data consumption patterns
- Monitor schema changes and recommend integration flows
- Collaborate across departments to facilitate data use
- Train peers on data pipelining techniques
- Ensure compliance and governance during data use
Benefits
- Flexible work schedule and remote work options
- Opportunity to work on innovative data projects
- Collaborative and inclusive work environment
- Professional development and training opportunities
- Access to modern data tools and technologies
- Health and wellness benefits
- Competitive salary and performance-based bonuses
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
