Data Conversion Engineer

🔥 4 hours ago

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SpryPoint

51 - 200 employees

☁️ SaaS

⚡ Energy

🤝 B2B

💰 Private Equity Round on 2023-03

SaaS • Energy • B2B

SpryPoint is a company that provides advanced software solutions aimed at improving operational efficiency and customer service for utility companies. Specializing in cloud-based platforms, SpryPoint's services include electric, water, gas, and broadband utility billing, mobile field service, asset management, customer engagement, and demand response. Their tools are designed to facilitate data-driven decision-making, enhance business intelligence analytics, and ensure regulatory compliance for clients in the utility sector. With an emphasis on security and performance, SpryPoint offers a seamless and efficient experience allowing utility providers to focus on their key operations, all while leveraging cutting-edge technology to stay current with industry advancements.

📋 Description

• Lead and manage ETL migration processes across multiple concurrent projects, ensuring robust data pipeline development and timely project delivery. • Develop and maintain efficient extraction, transformation, and loading scripts, utilizing Python, SQL, and related data engineering tools to ensure high-quality data migrations. • Implement feedback-driven improvements from clients and internal teams, enhancing data conversion quality, performance, and reliability. • Actively contribute to data quality assurance processes and review datasets for accuracy, completeness, and consistency. • Conduct in-depth analysis and profiling of diverse source database schemas (including relational and non-relational legacy systems) to accurately map and facilitate successful data extraction and migration. • Collaborate closely with the broader Client Experience team to seamlessly integrate client data into SpryPoint products, enabling smooth and timely go-live processes. • Work with the Data Conversion team to establish and promote best practices, create documentation, and drive continuous improvement in data migration processes, automation, and observability. • Actively participate in daily standups and weekly review sessions, clearly communicating progress, raising blockers, and incorporating feedback to continuously improve data engineering tasks and processes.

🎯 Requirements

• Development experience with Python and the pandas module. • Development experience with SQL and relational databases. • Experience in data migration, ETL processes, process scripting, and automation. • Understanding of system design and analysis. • A creative approach to problem-solving and learning, and an enjoyment of solving puzzles.

🏖️ Benefits

• Remote-first environment, flexible working hours across North America • Comprehensive compensation package that grows with you • MacBook + $800 to create your ideal home workspace • Health, dental, vision, and life insurance from day one • Generous PTO and unlimited sick days • RRSP (Canada) and 401k (US) matching programs • $2,500 annual development fund, tuition assistance, and Book Bounty program • Annual company events and team offsites that bring us together

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