AWS Data Engineer
Reply Polska
About Aim Reply
At AIM Reply, our mission is to establish ourselves as a world-class boutique AI consulting and services company. Dedicated to transforming businesses by harnessing the profound capabilities of artificial intelligence, we serve a range of industries including retail, manufacturing, logistics and financial services, underpinned by our deep expertise in data and advanced analytics. Our collaboration with industry-leading tech giants and cutting-edge AI startups enriches our approach, enabling us to deliver bespoke, industry-specific AI solutions.
- Proven experience with AWS services, including Glue, EMR, Lambda, EC2.
- Experienced with Terraform.
- Strong coding skills in Python, Bash, or other scripting languages.
- Excellent troubleshooting skills and proactive problem-solving.
- Strong communication skills and ability to work in a team.
- AWS
- Terraform
- Bitbucke
Core Technologies
About Aim Reply
At AIM Reply, our mission is to establish ourselves as a world-class boutique AI consulting and services company. Dedicated to transforming businesses by harnessing the profound capabilities of artificial intelligence, we serve a range of industries including retail, manufacturing, logistics and financial services, underpinned by our deep expertise in data and advanced analytics. Our collaboration with industry-leading tech giants and cutting-edge AI startups enriches our approach, enabling us to deliver bespoke, industry-specific AI solutions.
,[Build and manage scalable data pipelines using AWS Glue, Lambda, and Kinesis for batch and streaming workloads., Design efficient ETL processes to ingest and transform diverse data into lakes and warehouses., Ensure data quality through validation, monitoring, and automated checks across all stages., Define infrastructure using Terraform] Вимоги: AWS, Terraform, Bitbucket, Glue, Python Інструменти: Confluence, Bitbucket. Бонуси та переваги: Sport subscription, Training budget, Private healthcare, Flat structure, Lunch card, Small teams, International projects, Free coffee, Bike parking, Free beverages, Mobile phone, In-house trainings, Modern office, Startup atmosphere, No dress code.