Data Engineer
6 days ago
Exciting Opportunity: Data Engineer (Remote Work)
Are you passionate about data and ready to make a significant impact? Join our innovative Strategic Analytics team at Arch as a Data Engineer This mid-shift role is perfect for those who thrive in a dynamic environment and are eager to support high-profile analytics projects.
What You'll Do:
- Collaborate with Experts: Work closely with predictive modelers to assemble large, complex data sets that solve business problems and boost profitability.
- Data Mastery: Perform data manipulation and transformation using SQL and Python.
- Innovate: Identify, design, and implement internal process improvements, automating manual processes and optimizing data pipelines.
- Explore: Discover and explore new data sources with curiosity and creativity.
- Architect: Create and maintain optimal data pipeline architecture.
- Document: Author detailed and comprehensible documentation of data pipelines and technical solutions.
- Ensure Quality: Maintain data quality and completeness.
What We're Looking For:
- SQL Pro: Advanced working knowledge and experience with relational databases and query authoring.
- Data Enthusiast: A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
- Experienced: Ideally, 3+ years in a Data Engineer role or equivalent using SQL and/or Python.
- Organized: Good organizational skills and attention to detail.
- Critical Thinker: Excellent critical thinking skills to flag complex data challenges.
- Tech Savvy: Experience with cloud technologies and Python is a plus.
- Collaborative: Comfortable working in a fast-paced, highly collaborative environment.
- Communicator: Ability to effectively communicate to different target audiences.
Technical Skills:
- SQL: Proficiency Level 4 (Required)
- Relational SQL Databases: Proficiency Level 3 (Required)
- Data Integration Services (SSIS, Azure Data Factory, etc.): Proficiency Level 2 (Required)
- Microsoft Excel: Proficiency Level 3 (Required)
- Python, Scala, C++, Java or Similar: Proficiency Level 2 (Optional)
- Snowflake or Other Cloud-Based Data Warehouse: Proficiency Level 3 (Optional)
- NoSQL Databases / Unstructured Data: Proficiency Level 2 (Optional)
- Azure Cloud Services: Proficiency Level 1 (Optional)
Qualifications:
- Education: Bachelor's degree in computer science, MIS, or related field required.
Why Join Us?
- Innovative Projects: Be part of a team that develops cutting-edge predictive models and analytical tools.
- Growth Opportunities: Expand your skills and advance your career in a supportive environment.
- Collaborative Culture: Work in a team that values collaboration, creativity, and innovation.
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