All offersWrocławDataData Engineer (with AWS)
Data Engineer (with AWS)
Data
INSIGHT

Data Engineer (with AWS)

INSIGHT
Wrocław
Type of work
Undetermined
Experience
Mid
Employment Type
B2B, Permanent
Operating mode
Remote

Tech stack

    AWS
    regular
    Data Lake S3
    regular
    Redshift
    regular
    ETL
    regular
    Kinesis/Kafka
    junior
    Machine Learning
    junior
    Databricks
    junior

Job description

Online interview
Friendly offer
Insight is a division of nexergroup.com. Our goal is to grow strong but rather in competencies than in numbers. We get things done and, on the way, we build a dynamic company culture to create the best place for our development. We love the atmosphere of a family business with its flat structure and self-organized teams where every opinion matters and influences our way of working.

🚀We are looking for a Data Engineer to further strengthen the Advanced Analytics team. You will help with evolving and expanding the platform capabilities to enable work with data in a smart and modern manner. Join the team and grasp this great opportunity to become an Analytics Platform Engineer with the AWS team and build the new hybrid cloud foundation and Analytics, BI and Machine Learning domain.

📌In the role of Data Engineer:
You will work with your team and enhance the platform’s capabilities with Machine Learning services, big data processing (Glue/EMR), streaming in real-time (Kinesis/Kafka), data governance, improving CI/CD, generating guidelines and supporting in some of the data architecture and best practices questions.
We are enabling machine learning capabilities and real-time streaming as well as traditional data capabilities. You will be working with Cloud Platform Engineers, Cloud DevSecOps Engineers, Infrastructure & Security architects, AWS and Redshift designers.

You might be the perfect match if you:
· Have an analytical mind and business acumen
· Have excellent communication and presentation skills
· Are a team player
· Have experience with AWS using Data Lakes in S3
· Have experience with Data Warehouse in Redshift
· Have experience with ETL with Glue / EMR clusters
· Have experience with a real-time streaming using Kinesis / Kafka

Not required but very desirable:
· Have experience with Machine Learning using Sagemaker studio IAC using Terraform and/or Cloud Formation Setting up CI/CD pipelines
· Have experience with Databricks

🔳 What we offer:
· Fully remote job
· B2B or contract of employment
· Elastic working hours
· Training budget
· Private medical care
· Multisport card
· Life insurance
· Opportunity to impact our company culture build-up
· Amazing integration events