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Senior Data Engineer

Berlin7 дн. назад

Коротко

Builds data pipelines and performs analysis; uses SQL, PostgreSQL, Apache Spark, Airflow, Python, Google Cloud stack. · Needs: 3+ years software engineering; 1+ year data engineering; SQL with window functions; PostgreSQL; Airflow; Python; English.

Описание от работодателя

All Skills Skills: At least 3 years of experience in software engineering At least 1 years of experience in data engineering or the broader data science domain Ability to write elegant and readable SQL Knowledge of intermediate SQL features such as window functions Experience with the Google Cloud data stack (esp. DataProc & BigQuery) Experience PostgreSQL Experience with Apache Spark, either Scala or PySpark Hands on experience with Apache Airflow, ideally already has first experience with version 2.0 (or eagerness to learn) Skilled in writing Pythonic code Ability to discover data quality issues and perform descriptive analysis on Big Data Entrepreneurial spirit and know-how to identify opportunities of improvement Working proficiency and communication skills in verbal and written English Passion for playing with large volume of data Docker, Git, Bash Bonus: Neo4J or other graph databases Founded a company, familiar with the process and paperwork Python/SQL Only Skills: At least 3 years of experience in software engineering At least 1 years of experience in data engineering or the broader data science domain Ability to write elegant and readable SQL Knowledge of intermediate SQL features such as window functions Experience PostgreSQL Hands on experience with Apache Airflow, ideally already has first experience with version 2.0 (or eagerness to learn) Skilled in writing Pythonic code Entrepreneurial spirit and know-how to identify opportunities of improvement Working proficiency and communication skills in verbal and written English Passion for playing with large volume of data Bonus: Neo4J or other graph databases Founded a company, familiar with the process and paperwork Experience with the Google Cloud data stack (esp. DataProc & BigQuery) Spark Only Skills: At least 3 years of experience in data engineering Experience with the Google Cloud data stack (esp. DataProc) Experience with Apache Spark, either Scala or PySpark Ability to discover data quality issues and perform descriptive analysis on Big Data Entrepreneurial spirit and know-how to identify opportunities of improvement Working proficiency and communication skills in verbal and written English Passion for playing with large volume of data Bonus: Neo4J or other graph databases Founded a company, familiar with the process and paperwork Experience with the Google Cloud data stack (esp. DataProc & BigQuery)