Position: Senior Data  Enginner
Category: Data Engineer
English level: fluent
Years of experience: 11


Intensively experienced large-scale hybrid transactional/analytical processing systems (10+Years)
 Intensively experienced RDBMS, Document Store Databases and Columnar Databases (+10 Years)
 Oracle RDBMS, SQL, PL/SQL tuning, optimization, and RDBMS architecture. (10+ Years)
 PostgreSQL, MongoDB, NOSQL, Presto, PySpark, Apache Spark, Hadoop, HiveQL and Clickhouse DB (5+)
 Python, Pandas, simple-salesforce, Pandera ETL ELT, Data Pipeline (5+ Years).
 Amazon Cloud experience (Redshift, Glue, RDS, Athena, Lambda, S3 Storage) ,
Google Cloud (Big Query, Pub/Sub) and Microsoft Azure Experience (Azure SQL Data Factory) (3+ Years)
 Intensively experienced Business Intelligence Tools, MS Power BI, Oracle BI, ODI, Tableau (10+ Year)
 Experience with Avro, Parquet, gRPC, JSON, HDFS. (5+ Years)
 Experience with OOP .Net C#, ORM, Redis, JavaScript, NodeJS, MoongooseJS, CI pipelines, Rest API (10+)