Position: AWS ETL/Data Engineer
Company: GlobalLogic
Category: SQL
Experience required: 2y
English level: intermediate

We are looking for a Data Engineer willing to contribute to development of an AWS-based distributed data-pipeline, mostly in its ETL part, in a project of modernization of the client's Data Warehousing.

The requirements for this position are the following:
Good knowledge of ETL techniques
Experience with the AWS services related or used for ETL and data warehousing, such as: S3, Glue, Lambda, Lake Formation, CloudFormation, Athena
Deep familiarity with SQL and various DBMS
Good scripting skills in a modern programming language (such as Python, Java, Scala, C#, etc.)
Ability to work in a small team responsible for ETL and data warehousing
Working with Agile methodology
Good spoken and written English
 

Will be a plus:
Wider data engineering expertise beyond just ETL
Experience with data streaming via Kafka or AWS Kinenis
Experience data visualization tools like Tableau
Experience with Snowflake
 

Job Responsibilities
•Design and development of ETL solutions on a regular release cycle
•Review business requirements, transform requirements and business rules into appropriate technical specifications
•Participate in work planning and estimation
•Present technical solutions to various stakeholders
•Develop and maintain sufficient support documentation to facilitate day-to-day support of the EDW and DL environments

Project Description
The client is an industrial asset disposition and management company, that sells heavy industrial equipment and trucks through auctions and other transactional channels. The program consisting of 20+ engineers will include Architecture, Platform and Data Management teams working from offshore and nearshore locations augmenting the existing onsite engineering team.