MMDSmart Logo

MMDSmart

Middle Data Engineer

Reposted 10 Days Ago
Remote
Hiring Remotely in Georgia, USA
Mid level
Remote
Hiring Remotely in Georgia, USA
Mid level
The Data Engineer will design, build, and maintain scalable data pipelines, develop ETL workflows using Python and SQL, and optimize data processes to ensure reliability and performance.
The summary above was generated by AI

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.

Since 2007, MMDSmart has been a leading supplier in cloud-based business communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.


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;
  • Lannguage 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.


Benefits

Why do talents choose and stay at MMDSmart?

Embrace the opportunity to work in a company that cares about:

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.

Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got!

Equal-Opportunity Employment

We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

*Medical Insurance and Sport Card perks are available for employees located in Bulgaria.

Similar Jobs

9 Days Ago
In-Office or Remote
Mid level
Mid level
Information Technology
Design, build, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate multiple data sources, optimize large-scale transformations, support SQL Server/SSIS platforms, and collaborate with BI teams to enable analytics and reporting.
Top Skills: Azure Data FactoryAzure DatabricksDelta LakePysparkPythonSparkSpark SqlSQLSQL ServerSsis
9 Days Ago
In-Office or Remote
Mid level
Mid level
Information Technology
Design, build, and maintain scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate multiple data sources, optimize large-scale data processing, support SQL Server/SSIS environments, and collaborate with BI teams for reporting and analytics.
Top Skills: Azure Data FactoryAzure DatabricksDelta LakePysparkSparkSpark SqlSQLSQL Server
9 Days Ago
In-Office or Remote
Mid level
Mid level
Information Technology
Design, build, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate multiple data sources, optimize large-scale ETL/ELT processes, support SQL Server/SSIS platforms, and collaborate with BI teams to enable analytics and reporting.
Top Skills: AzureAzure Data FactoryAzure DatabricksAzure DevopsDelta LakePower BIPysparkSparkSpark SqlSQLSQL ServerSsisStructured Streaming

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account