Lead/Senior Data Engineer in Addepto

At Addepto, we believe that the only constant in life is change, so we keep developing and improving to become better at what we do every day! We act outside the box and create and deliver the best solutions in Artificial Intelligence, Machine Learning, and Big Data.

For our team, we seek a highly experienced Data Engineer who will focus mainly on designing and implementing scalable data processing architectures. The position requires a strong consulting approach, as you will be actively engaged in client-facing projects.

Check out our recent Big Data projects:

• Data lakes, which store terabytes of data and process Machine Learning tasks for a big telecom company.
• Streaming applications to server data analytics in real-time for manufacturing companies.
• Systems that support the decision-making process and help to analyze data in a unified format for controlling and operations departments.
• Support real-time Machine Learning prediction on massive datasets, which prevents company losses for pharmaceutical companies.
• And more!

What you’ll need to succeed in this role:

• Bachelor’s degree in technical or mathematical studies.
• At least 5 years of proven commercial experience in implementing, developing, or maintaining Big Data systems.
• Proficiency in Python (or Java/Scala) and hands-on experience with Apache Spark, Cloudera, Data Platform, Airflow, and NiFi.
• Familiarity with Big Data technologies like Databricks, Docker, Kubernetes, Iceberg, Trino, and Hudi.
• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS).
• Excellent understanding of dimensional data and data modeling techniques.
• Strong consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant.
• Ability to work independently and take ownership of project deliverables.
• Experience with an MLOps framework such as Kubeflow or MLFlow.

At Addepto, we believe that the only constant in life is change, so we keep developing and improving to become better at what we do every day! We act outside the box and create and deliver the best solutions in Artificial Intelligence, Machine Learning, and Big Data.

For our team, we seek a highly experienced Data Engineer who will focus mainly on designing and implementing scalable data processing architectures. The position requires a strong consulting approach, as you will be actively engaged in client-facing projects.

Check out our recent Big Data projects:

• Data lakes, which store terabytes of data and process Machine Learning tasks for a big telecom company.
• Streaming applications to server data analytics in real-time for manufacturing companies.
• Systems that support the decision-making process and help to analyze data in a unified format for controlling and operations departments.
• Support real-time Machine Learning prediction on massive datasets, which prevents company losses for pharmaceutical companies.
• And more!

,[Design and develop scalable data processing architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark and Hadoop., Develop applications to aggregate, process, and analyze data from diverse sources., Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building., Manage distributed database systems such as ClickHouse, BQ, Teradata, Oracle Exadata, PostgreSQL + Citus Modeling, Star, and Snowflake schema., Develop and organize data transformations using DBT and Apache Airflow., Translate business requirements into technical solutions and ensure optimal performance and quality.] Вимоги: Python, SQL, Big Data, Data Integration, ETL tools, Docker, Data Platform, Cloud, NiFi, Kafka, Databricks, Airflow, Scala, Java, Hadoop, Kubernetes, Cloudera, Iceberg, Trino, Hudi, Spark Інструменти: Jira, Confluence, Wiki, GitHub, Agile, Scrum, Kanban. Бонуси та переваги: Private healthcare, Multisport card, Referral bonus, MyBenefit cafeteria, International projects, Flat structure, Paid leave, Training budget, Language classes, Team building events, Small teams, Flexible form of employment, Flexible working hours and remote work possibility, Free coffee, Startup atmosphere, No dress code, In-house trainings.