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  4. Data Engineer (Telecom)

Data Engineer (Telecom)

Remotely
Full-time
Permanent work
Python Spark SQL ETL

A large IT company specializing in the creation and development of IT infrastructures for businesses.


Responsibilities:

  • Developing ETL processes based on prototypes and technical requirements.
  • Modifying existing ETL processes according to changing business requirements.
  • Improving code productivity, implementing data quality checks, establishing regulations, and monitoring the performance of ETL processes.
  • Optimizing and refactoring code at the query and configuration level (SQL/Python/Spark/HDFS).
  • Collaborating with System Analysts, Data Engineers, Second Line Support, DevOps, and other related departments.
  • Promptly resolving incidents at the third line of support level.
  • Working with a centralized OLAP storage (Hadoop) and the data replication layer (Greenplum). Experience with PostgreSQL, Teradata, Clickhouse, and other databases is also possible.
  • Proficiency in the Russian language is mandatory.


Technical Stack: SQL, Python, Hadoop, HDFS, HIVE, Spark, Airflow, Linux CLI, Greenplum or other MPP databases, YAML notation.