Position: Data Engineer (Python)
Company: Monster Lead Group
Experience required: 2y
English level: upper

The Monster team is looking for a qualified data engineer to join our data team.
You will be working on an experienced data team that is focused on data engineering, business intelligence and advanced analysis.

Responsibilities:
•	Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS (Amazon Web Services) data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake
•	Design and build production data pipelines from ingestion to consumption using SQL and Python. 
•	Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming. 
•	Lead proof-of-concepts and then effectively transition and scale those concepts into production at scale through, engineering, deployment, and commercialization.

Qualifications
•	Experience with Python in a data engineering capacity building and maintaining ETL/ELT pipelines and related functions
•	2+ years of industry experience in Data Engineering, BI (Business Intelligence) Engineer or related field with experience manipulating, processing, and extracting value from large datasets
•	Ability to write high quality, maintainable, and robust code, often in SQL and Python or related data languages.
•	Serve as an expert; envision and integrate emerging data technologies, anticipate latest trends to solve complex business and technical problems.
•	Ability to communicate both written and verbal in English

Pluses 
•	Familiarity with Snowflake (Data Warehouse)
•	Familiarity with Looker BI Tool
•	Familiarity with AWS