Job title: Senior Data Developer (Snowflake) / Durham, NC (Remote), 5+ Months Contract
Company: Suncap Technology
Job description: Dynamic Work schedule – This is 5 days on site a month- in the same week then the remainder of the month is working from home. ( They can fly/drive into the office as well). If your candidate is not open to this please tell them they will not be considered. Client determines the week they are working onsite, not the candidate.
Locations: San Francisco, CA
Must Have:
- Building, maintaining, and tuning stored procedures.
- Python scripting
- Hands-on experience with either Azure or AWS cloud concepts and fundamentals
- Hands-on experience with ETL and ELT; Informatica
We’re looking for a passionate, inquisitive, and fast paced Data Developer with a deep knowledge on a wide range of web technologies to join the Workplace Consulting’s Product and New Technology Team.
The Role:
we love to use data to create incredible personalized customer experiences and develop solutions that help our customers live the lives they want. As part of our organization’s digital transformation, we have made significant investments in our innovative data capabilities to support our customer obsessed culture. We are seeking an expert Senior Data Developer with a strong database background and passion for understanding and improving on our data to deliver outstanding customer experiences. You will be working in a collaborative team environment where you will have a wealth of opportunities to develop, innovate, advocate for how our software and data is best used, and improve our delivery. This is a fast-paced team that is passionate about designing, implementing, and maintaining a wide variety of processes, platforms, and products for our clients.
The Expertise and Skills You Bring:
- 5+ years in Technology with 3 years in developing and deploying data solutions
- Excellent written and verbal communication skills including experience writing documentation
- Excellent collaboration skills to work with multiple teams in the organization
- Ability to deal with ambiguity and work in fast paced environment
- Systems analysis background with an emphasis on legacy process decomposition and debugging/tuning/refactoring
- Strong understanding of data analysis concepts and associated tools such as SQL, Python, Excel, etc.
- QA / Testing must be highly proficient in QA and testing methodologies/concepts with a demonstratable level of expertise
- Comfortable working within an Agile framework
- Extensive experience with SQL required; knowledge of MySQL, Oracle, and SQLMI preferred
- Hands-on experience with ETL and ELT; Informatica
- Experience with Python or other scripting languages.
- Experience with cloud database technologies such as Snowflake, Azure SQL or MySQL databases.
Any combination of the following is a plus:
- A passion to design and implement single and multi-tenant data solutions using various database design and data modelling best practices.
- Experience building scalable and robust data solutions for websites using a range of technologies
- Business Intelligence development experience with tools such as Tableau, PowerBI, etc.
- Project management experience
The Team:
Fidelity Workplace Consulting (FWC) is composed of over 400 professionals who advise clients on the management of their domestic and global benefits. We are a fast-growing business within Fidelity, providing a broad range of services that touch on every area of benefits design, strategy, funding, communication, and delivery. We are reinventing the consulting experience for our clients through our dedication to responsiveness, expertise, and accuracy. While we focus on working with the Fortune 1000, we also work with Fidelity clients of all sizes. The Digital Solutions team is a shared service within FWC, made up of individuals who lend their skills and expertise towards the implementation, launch and ongoing maintenance of benefits-related microsites, tools, and other online solutions.
Expected salary:
Location: Durham, NC
Job date: Fri, 19 Jul 2024 01:32:25 GMT
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