Data Engineer

Job not on LinkedIn

🕒 April 20

🌐 Poland, Georgia, +4 more countries – Remote

🇵🇱 Poland – Remote 🇬🇪 Georgia – Remote 🇷🇸 Serbia – Remote 🇧🇬 Bulgaria – Remote 🇨🇿 Czechia – Remote 🇰🇿 Kazakhstan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MMDSmart

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

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.

📋 Description

• 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 • Focus on building and maintaining data pipelines, batch and streaming data processing, data transformation and orchestration, and performance and cost optimization • Work with Google BigQuery, Python, Apache Airflow, and Apache Spark (PySpark) • The role does not involve DevOps, ML, or BI development

🎯 Requirements

• 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 • Fluency in Russian and English • Experience with Kafka or streaming data pipelines (nice to have)

🏖️ Benefits

• Mental health programs • Comprehensive medical insurance • Sports card • Bonuses and corporate gifts • Free educational events and courses • English classes with native speakers • Professional development support • Choice of remote, office-based, or hybrid working format • Team-building activities • Medical Insurance and Sport Card perks are available for employees located in Bulgaria

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