Senior Customer Integration Engineer (Data Engineer) @ Focal Systems

Focal Systems is the industry leader in retail AI solutions. We are a Silicon Valley based startup that has more than doubled in size every year since inception. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with the top retailers in the world. We are looking for smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!

We have a strong team of engineers located in Poland.

What We Offer

We care deeply about the health, happiness, and wellbeing of all of our employees. We offer :

• Competitive Salary & Attractive Stock
• Paid Time Off
• Opportunity to work on challenging customer data transformation projects
• Access to modern data processing tools and technologies
• Professional development opportunities and conference attendance
• Collaborative work environment focused on data quality and efficiency
• Our pay bands are driven by market benchmarks in the target geography for hiring. Our posted ranges typically include multiple job levels. A candidate's level is determined by their performance throughout our talent acquisition process including technical screens, behavior interviews, presentations, work samples, and references. We will communicate transparently with the candidate at final stages regarding how we have leveled them, and what salary range that places them into. Placement within range is equally determined by education, general experience in your profession, specific experience in our domain, and your performance in the talent acquisition process. It is rare to receive an offer at the top of the range for a role.

What we are looking for

We are seeking a skilled Customer Integration Engineer specializing in customer data transformation to play a crucial role in transforming diverse customer data into standardized, high-quality datasets that power our business operations. In this role, you will focus on analyzing, cleaning, and transforming customer data to meet our specific data needs and ensure seamless integration into our systems.

What you need to be successful

Preferred Skills

Focal Systems is the industry leader in retail AI solutions. We are a Silicon Valley based startup that has more than doubled in size every year since inception. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with the top retailers in the world. We are looking for smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!

We have a strong team of engineers located in Poland.

What We Offer

We care deeply about the health, happiness, and wellbeing of all of our employees. We offer :

Partner with the sales team to smoothly integrate new customers into our system and manage optimal roll-out timelines, Design and implement data transformation processes to convert customer data into our required formats and schemas, Analyze complex customer data structures and formats to determine optimal transformation strategies, Develop and maintain ETL pipelines for efficient customer data ingestion and transformation, Perform thorough data quality assessments and implement data cleaning procedures to ensure accuracy and consistency of transformed data, Optimize data transformation queries and processes for improved performance across multiple database technologies, Collaborate with cross-functional teams to understand customer data requirements and deliver effective transformation solutions, Create and maintain documentation for data transformation processes and mappings, Implement data validation checks to ensure transformed data meets our specifications] Requirements : Python, Flask, Git, Degree, Data engineering, MySQL, MongoDB, SQL, ETL, CSV, JSON, XML, Data modeling, Kafka, Redis, BigQuery, Snowflake, dbt Tools : Jira, Confluence, GitHub, GIT, Agile, Scrum. Additionally : Training budget, Small teams, International projects, Flat structure, Startup atmosphere, No dress code, In-house hack days.