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Are you a Data Engineer who is ready to challenge yourself in using state-of-the-art technology to democratize e-commerce and create more technological equality?
Custimy is on the mission to create the Next-Generation Customer Data Platform for all. We are building the right infrastructural software required to activate valuable customer data for everyone. And, by everyone, we mean to empower smaller E-commerce businesses to have the same opportunities as larger ones for customer attention, acquisition and loyalty.
To support our rocket growth, we’re looking for a talented Data Engineer to join our fast-paced and exciting engineering team. You will become an integral part of shaping our Development team, focused on creating the next generation Customer Data Platform. As we are still a new company you will have a lot of impact on the development and the success journey of our start-up.
Design, implement, and monitor data pipelines within our AWS cloud architecture
Design infrastructure for greater scalability, improve pipelines performance
Optimize data models, data storages and data warehouse capabilities
Assemble large and complex datasets to meet business requirements, work with different data integrations, their data formats and documentation
Explore ways to enhance data quality and reliability of designed workflows
Collaborate with Software Engineers, DevOps Engineers and Data Scientists to facilitate the relevant data flows for all the platform consumers
Work with internal stakeholders to assist with data-related technical issues and support data infrastructure needs
Spark as your daily job framework, closest friend and enemy :)
Python as main coding language
Glue & EMR as computing services
AWS Step Functions as our job orchestrator
Clickhouse
RDS on MySQL as DB service
S3 as data lake service
Terraform/Terragrunt for IaC related to Data Engineering orchestration
CI/CD and Gitlab
IDE of your choice (we use PyCharm)
You fit this role if you are a seasoned Python Developer and a development enthusiast, who is ready to become a part of an exciting journey where the sky's the limit. You have previously created and/or worked on next-gen applications, and you are always seeking out new ways to create faster, smarter solutions.
You meet several of the following requirements:
A degree in Computer Science, Informatics or equivalent of +4 years of professional experience as a data engineer.
3+ years of experience as a Data Engineer.
Solid experience with designing scalable ETL/ELT processes which are based on data lake & data warehouse.
Strong programming skills in Python with understanding of software engineering principles.
Good knowledge of Spark API and architecture.
Experience with AWS cloud services like Glue, EMR, S3, Batch, Aurora or Athena is considered as asset.
Practical understanding of OLAP, specifically Clickhouse, and OLTP patterns, database optimization and data modeling are considered a big asset.
Working experience with relational databases like MySQL or PostgreSQL.
Experience with modern software development stack including CI/CD, repositories, version controls and containerization.
Self-driven, responsible and confident working with a high degree of freedom.
Great at attaining knowledge independently and having an eye for the bigger picture.
Good overall communication skills. Great in English, both written and verbal.
Comfortable collaborating and working remotely
We strive to be as remote as possible however we would like you to be close to one of our offices so we can meet on a regular basis.
We are a group of creative and ambitious people from all over the world, who believe in teamwork and strive for excellence in everything we do. Curious by nature, life-long learners, and not afraid to fail, we are growing together as a family - and we hope you want to be a part of it.
Sound like something you are looking for? Apply now!
We are super excited to hear from you, and will fill the role as soon as we find the best match for our team!
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Social gatherings and games; hang out with your colleagues.
Get your caffeine fix to get you started and keep you going.
Easy access and treehugger friendly workplace.
We want to take you from good to great.
Your local office is your anchor point, thus, we placed it centrally at your convenience.