201 - 500 employees
📡 Telecommunications
🤝 B2B
☁️ SaaS
Telecommunications • B2B • SaaS
MMDSmart is a leading global cloud communications provider, offering high-quality voice and mobile messaging services through a robust CPaaS platform. They serve enterprises of all sizes, providing wholesale B2B communications solutions, including voice and SMS services, as well as retail messaging and voice services. Their product lineup features MessageWhiz, a proprietary conversion-based messaging platform, and they pride themselves on their award-winning customer service and secure APIs. With a network of partners worldwide, MMDSmart enables businesses to enhance communication with customers across various messaging platforms and call centers.
🕒 April 20
🗣️🇷🇺 Russian Required
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201 - 500 employees
📡 Telecommunications
🤝 B2B
☁️ SaaS
Telecommunications • B2B • SaaS
MMDSmart is a leading global cloud communications provider, offering high-quality voice and mobile messaging services through a robust CPaaS platform. They serve enterprises of all sizes, providing wholesale B2B communications solutions, including voice and SMS services, as well as retail messaging and voice services. Their product lineup features MessageWhiz, a proprietary conversion-based messaging platform, and they pride themselves on their award-winning customer service and secure APIs. With a network of partners worldwide, MMDSmart enables businesses to enhance communication with customers across various messaging platforms and call centers.
• Design, build, and maintain data pipelines for batch and streaming data processing. • Develop and optimize ETL workflows using Python and SQL. • Build and maintain Airflow DAGs for orchestration of data workflows. • Implement data transformations and data quality checks. • Optimize BigQuery queries and data models for performance and cost efficiency. • Troubleshoot and improve reliability of existing pipelines. • Collaborate with analysts and engineering teams to support data needs.
• 4+ years of experience as Data Engineer. • Strong experience with SQL and Google BigQuery. • Experience building data pipelines and ETL processes. • Solid knowledge of Python for data processing. • Hands-on experience with Apache Airflow. • Experience working with large datasets. • Understanding of data modeling and data warehouse concepts. • Experience with query optimization and cost-efficient data processing. • Experience with data pipeline monitoring and observability. • Language knowledge: fluency in Russian and English.
• Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card. • Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. • Your Development: Benefit from free educational events & courses, and English classes with native speakers. • Your Career: Focus on your professional development in a supportive environment. • Work-Life Balance: Choose your working format - remote, office-based, or hybrid and engage in team-building activities.
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