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Job Description
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We are looking for a Data Engineer to join our team and help build and maintain scalable data pipelines and data warehouse solutions.
In this role, you will work with large datasets, design efficient data processing workflows, and ensure the reliability and performance of our data platform.
Requirements
What will you do at MMDSmart?
- 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.
You are a perfect match if you have:
- 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.
Nice to have:
- Experience with Kafka or streaming data pipelines.
You will primarily focus on:
- Building and maintaining data pipelines;
- Batch and streaming data processing;
- Data transformation and orchestration;
- Performance and cost optimization.
Our Tech Stack
- Google BigQuery;
- Python;
- Apache Airflow;
- Apache Spark (PySpark).
The role does not involve DevOps, ML, or BI development.
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MMDSmart
View Company ProfileMMDSmart is a premier, enterprise-grade cloud communications and CPaaS (Communications Platform as a Service) provider engineered to orchestrate massive-scale messaging, voice, and engagement ecosystems. Operating as a tech-enabled global connectivity hub, the company eliminates the operational friction of traditional, legacy telecommunications models—which frequently suffer from inconsistent route quality, delayed OTP (One-Time Password) delivery, and fragmented multi-channel visibility—by seamlessly deploying advanced smart-routing telemetry, rigorous carrier-grade messaging architectures, and cohesive cross-channel engagement frameworks. Moving beyond rigid legacy wholesale-telecom paradigms, MMDSmart empowers global enterprises, mobile operators, and Tier-1 organizations to dynamically synchronize their SMS (A2P), voice-callback, and AI-enabled chatbot pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—built on a foundation of 180+ countries of coverage—natively manages complex high-volume traffic ingestion, instantaneous sentiment-analysis routing, and automated conversion-focused communication workflows, providing the necessary operational foundation to support critical business interactions. What sets MMDSmart apart is its uncompromising dedication to frictionless communication-orchestration; by bridging the gap between highly technical, performance-intensive telecom infrastructure demands and accessible, high-velocity digital-engagement interfaces (such as MessageWhiz), the firm empowers modern organizations to radically accelerate their customer-conversion velocity, eliminate systemic communication bottlenecks, and build an unassailable foundation for continuous commercial and institutional dominance in the modern, AI-transformed global-telecom landscape.
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