Data Engineer

At this position you will work with data about customers activity in one of the largest telecom operators on the market. You will participate in development of ETL processes and data pipelines in data platforms: Data Warehouse, BI and reporting systems, Hadoop Data Platform. You will also participate in integration of external systems Like CRM, Campaign Management System and others with Data Platforms.

Responsibilities:

1. Work with analysts and business stakeholders to clarify their requirements.
2. Design of data model and develop PL/SQL code in reporting systems.
3. Develop ETL, implement new or extend existing data marts in Data Warehouse and BI tools.
4. Develop data processing pipelines in Hadoop data platform and Mediation platform.
5. Participate in implementation and integration of new platforms and new data sources.
6. Develop of API for integration of external systems with data platforms.
7. Perform root-cause analysis of data pipelines issues, bug fixing, performance tuning.

Requirements:

• 3+ years of experience as a Data Engineer or Database Developer.
• Experience with RDBMS's like Oracle or MySQL, experience in SQL and PL/SQL development and performance tuning.
• Knowledge of Data warehouse concepts and experience in ETL development.
• Proficiency in one of Python, Java or Scala.
• Experience with Big Data technologies such as Hadoop, Spark, Hive, Kafka, HBase and other components would be advantage.
• Experience in implementation of Machine Learning pipelines using Spark ML or Scikit-learn would be advantage.
• Experience in Telecom domain would be advantage.
• Good analytical and problem solving skills.