What are the responsibilities and job description for the Snowflake Developer position at Digipulse Technologies, Inc?
Job Details
- Bachelors or Masters in a technology related field (e.g., Computer Science, Engineering etc.) required.
- 6 years of related experience in data engineering, analysis, data warehouses, data lakes. Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.
- A solid experience and understanding of designing and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.
- Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake.
- Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.
- You should be having an experience in Data Lake implementation in Snowflake
- Knowledge and expertise of data modelling techniques and standard methodologies (Relational, Dimensional), plus any experience with Data modelling tools (e.g., PowerDesigner).
- Prior experience with Data ingestion tool sets (e.g., Apache NiFi, Kafka) is advantageous.
- Working experience with some or all of the following: AWS, Containerization, associated build and deployment CI/CD pipelines, Lambda development.
- Experience in Agile methodologies (Kanban and SCRUM) is a plus
- Experience with DevOps, Continuous Integration and Continuous Delivery.
- Able to work collaboratively with a geographically diverse team.
- Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding standard methodologies.
- Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
- Understanding data transformation and translation requirements and which tools to leverage to get the job done
- Prior experience in setting up reliable infrastructure (Hardware, Scalable data management systems, and frameworks) to perform data-related tasks, particularly with Kafka.
- Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to work hand-in-hand with other members of technical teams to execute on product roadmaps to enable new insights with our data.
- Strong Focus on resiliency & reliability.
- You have excellent written and oral communication skills.
- Nice to have: Scripting/coding experience in any of the following: Python, Unix, Java.
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