Data Engineer

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June 20

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Intermedia Cloud Communications

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B2B • Enterprise • SaaS

Intermedia Cloud Communications is a leading provider of cloud-based communication solutions, specializing in unified communications, video conferencing, and various productivity tools. Their platform, Intermedia Unite, integrates voice, video, chat, and file management into a seamless user experience, enabling businesses to communicate and collaborate effectively from anywhere. With a focus on security and compliance, Intermedia serves a range of industries including healthcare, legal services, and financial services, helping organizations enhance productivity and customer care with advanced technology and support.

1001 - 5000 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2017-02

📋 Description

• Were looking for a skilled Data Engineer with deep Snowflake expertise to help modernize and scale our data platform. • Youll work across legacy and modern systems to deliver reliable, high-quality data to customers and colleagues who depend on it every day. • Design, build, and maintain scalable and efficient data pipelines to support analytics, reporting, and operational use cases. • Collaborate closely with product owners, analysts, and data consumers to translate business requirements into reliable data solutions. • Develop and maintain data integration workflows across both cloud-native and on-premise systems. • Champion best practices in data architecture, modeling, and quality assurance to ensure accuracy and performance. • Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a cross-functional agile team. • Identify and remediate technical debt across legacy pipelines and contribute to the modernization of the data platform. • Implement robust monitoring and alerting for pipeline health, data quality, and SLA adherence. • Write and maintain documentation for data flows, transformations, and system dependencies. • Contribute to code reviews and peer development to foster a collaborative and high-quality engineering culture. • Ensure adherence to security, privacy, and compliance standards in all data engineering practices.

🎯 Requirements

• 5+ years of professional experience in data engineering, analytics engineering, or related fields • Bachelors Degree in Computer Science, or equivalent field and 2+ years of experience • Advanced SQL skills, including performance tuning and query optimization • Expertise in Snowflake , including data warehousing concepts, architecture, and best practices • Experience with modern data transformation tools (e.g., dbt ) • Experience building and maintaining automated ETL/ELT pipelines , with a focus on performance, scalability, and reliability • Proficiency with version control systems (e.g., Git), working within CI/CD pipelines and experience with environments that depend on infrastructure-as-code • Experience writing unit and integration tests for data pipelines • Familiarity with data modeling techniques (e.g., dimensional modeling, star/snowflake schemas) • Experience with legacy, on-premise databases such as Microsoft SQL Server is preferred • Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools , and data federation tools is a plus • Experience with Sql Server Reporting Services (SSRS) is beneficial