Position: Python Data Engineer
Company: GlobalLogic
Experience required: 2y
English level: intermediate

The gathered and processed information will let the customers make decisions regarding the business state of the investigated companies. Analytical information will help customers to predict the future state of the appropriate companies and improve customer’s business processes.

The client provides high value analysis and support to partner companies for identification and mitigation emerging business challenges. Today the customer’s business processes are highly manual and fragmented.

The project is aimed to define and bring to life a digital platform that connects the client employees with relevant and meaningful information about their portfolio holdings, enabling insights and action.

 Job Description
 
Proficiency in software development in Python (in use)
Strong SQL programming background with the ability to troubleshoot and tune the code
Proven understanding and demonstrable implementation experience of cloud data platform technologies (AWS)
Knowledge of Enterprise Data Warehouse technologies including Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
Develop data pipelines with ETL process, connecting different data sources with custom pipelines
Experience with Big Data querying tools
Practical experience with Kafka
Strong problem solving, troubleshooting and analysis skills
Good communication skills
Intermediate+ speaking and written English
 

Will be a plus:
Experience in development of ETL solutions
Previous experience as a Python data engineer
Substantial understanding in AWS data ingestion frameworks, data serverless processing, AWS Athena, Glue, EMR, Redshift, Lambda, Batch, Step function
Deep familiarity with Airflow and PySpark
Good knowledge of linux/shell