استخدام Data Engineer
شرح موقعیت شغلی
Design and work with big data frameworks (Hadoop, Hive, PySpark, Dask, Airflow, nifi, kafka, dbt)
Design, build and maintain ETL pipelines
Writing effective and scalable Python codes
Produce clean, consistent, logical code based on designs; submit to GitLab repository
Generating infrastructure that allows big data to be accessed and analyzed.
Reformulating existing frameworks, functions and paradigms to optimize their functioning.
Ensuring data quality
Create and maintain various database systems (MySQL, Oracle, MS SQL Server)
Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation
At least 4 years work experiences
Experience with Big Data technologies such as Hadoop, Hive, PySpark, Dask, Airflow, nifi, kafka, dbt
Experience with ETL process and pipelines
Strong proficiency in SQL and experience with relational databases such as MySQL, MS SQL Server or Oracle and NoSQL databases like MongoDB
Confident with version control systems (GitHub, GitLab, etc.)
Experience with pandas, numpy, sklearn or other data science frameworks
Advanced knowledge of application, data, and infrastructure architecture disciplines
Knowledge of data warehousing concepts and experience with data modeling and schema design
Problem Solving and communication skills
Detail Oriented and decision making
Design, build and maintain ETL pipelines
Writing effective and scalable Python codes
Produce clean, consistent, logical code based on designs; submit to GitLab repository
Generating infrastructure that allows big data to be accessed and analyzed.
Reformulating existing frameworks, functions and paradigms to optimize their functioning.
Ensuring data quality
Create and maintain various database systems (MySQL, Oracle, MS SQL Server)
Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation
At least 4 years work experiences
Experience with Big Data technologies such as Hadoop, Hive, PySpark, Dask, Airflow, nifi, kafka, dbt
Experience with ETL process and pipelines
Strong proficiency in SQL and experience with relational databases such as MySQL, MS SQL Server or Oracle and NoSQL databases like MongoDB
Confident with version control systems (GitHub, GitLab, etc.)
Experience with pandas, numpy, sklearn or other data science frameworks
Advanced knowledge of application, data, and infrastructure architecture disciplines
Knowledge of data warehousing concepts and experience with data modeling and schema design
Problem Solving and communication skills
Detail Oriented and decision making
مهارتهای مورد نیاز
- Python
- Data engineer
- Big Data
حداقل سابقه کار
- سه تا شش سال
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- معافیت دائم پایان خدمت