What are the responsibilities and job description for the Data Engineer position at Sparks Group?
Job Description
Job Summary/Company:
A Sparks Group Partner is seeking a Data Engineer for solution engineering of enterprise-scale data management best practices. The Engineer will be responsible for developing data integration tasks in the data and analytics space. This position is 100% remote. If you are interested in learning more about Sparks Group and the opportunity, please submit your resume today.
Responsibilities:
Qualifications/Background Profile:
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Download the Sparks Group Jobs mobile app from Apple App Store or Google Play.
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Qualified candidates should send their resume AND call Sparks Group for additional details. Please note, resume must include a valid email address in order to be considered. We look forward to discussing your background, your current job search, and your potential career path with Sparks Group!
Sparks Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protect veteran status.
A Sparks Group Partner is seeking a Data Engineer for solution engineering of enterprise-scale data management best practices. The Engineer will be responsible for developing data integration tasks in the data and analytics space. This position is 100% remote. If you are interested in learning more about Sparks Group and the opportunity, please submit your resume today.
Responsibilities:
- Demonstrate proficiency in implementing Snowflake Data Warehouse solutions
- Build data integration solutions between transaction systems and analytics platform
- Expand data integrations to combine data from internal/external sources
- Create security policies in Snowflake to manage fine-grained access control
- Develop tasks for a multitude of data patterns (e.g., real-time data integration, advanced analytics, machine learning, BI, and reporting)
- Lead PoC efforts to build foundational AI/ML services for predictive analytics
- Build data products through data enrichment and ML
Qualifications/Background Profile:
- Bachelor's degree in Computer Science or related field
- 5-7 years of experience building data-driven solutions
- 3 years of AWS experience; deep understanding of AWS Cloud environment (AWS architecture certification is desired)
- Expertise in real-time data movement, integration, and ETL using tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka, etc.
- Experience with a data visualization tool (Tableau, Power BI, QuickSight, etc.)
- Experience building star schema
- Solid scripting experience in AWS using CloudFormation templates and Lambda functions
- Strong scripting experience on object-oriented programming (Python, Java)
- Hands on experience with cloud-based data warehouse platforms (Redshift, Snowflake)
- Strong understanding of data security (authorization, authentication, encryption, and network security)
- Demonstrated experience in data management with a strong understanding of process re/design
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Download the Sparks Group Jobs mobile app from Apple App Store or Google Play.
----------
Qualified candidates should send their resume AND call Sparks Group for additional details. Please note, resume must include a valid email address in order to be considered. We look forward to discussing your background, your current job search, and your potential career path with Sparks Group!
Sparks Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protect veteran status.
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