Strong Middle Data Engineer

About Akvelon

🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.

About project

The software engineer will support our ongoing initiatives within infrastructure automation projects. The engineer with work closely with three SWEa, a data scientist,  capacity planners and others to deliver applications mainly in big data and infrastructure domains.  You will pull data from various data sources, transform and apply algorithms to produce results which will have a high business impact. 

Responsibilities:

• Analyze and organize raw data 
• Build data systems and pipelines
• Evaluate business needs and objectives
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Develop analytical tools and programs, and build dashboards
• Collaborate with data scientists/planners and architects on several projects
• Assembling large, complex sets of data that meet business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  
• Building ETL jobs for optimal extraction, transformation and loading of data from various data sources using AWS, Airflow and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insights into key infrastructure metrics and performance

Technology stack

• Previous experience as a SWE engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Fluent in python, experience on Go is a bonus.
• Hands-on experience with SQL database design and experienced to work with hive/databricks or other data warehouses
• Have experiences to build dashboards on Tableau/Grafana/Databricks
• Experiences on building data pipelines on Airflow is a plus
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field

Overlap Time Requirements

• 10am-7pm CET (Poland time)

Working Conditions and Benefits:

• Paid vacation and sick leave (without requiring a sickness list);
• Health insurance;
• Official state holidays — 11 days considered public holidays;
• Opportunities for professional growth through challenging projects and the possibility to switch roles, master new technologies, and improve skills with company support;
• Flexible working schedule: 8 hours per day, 40 hours per week, with 2-3 hours of overlap with PST;
• Personal Career Development Plan (CDP);
• Employee support program (Discounts, Care, Health, Legal compensation);
• Paid external training, conferences, and professional certification aligned with the company’s business goals;
• Internal workshops and seminars;
• Corporate library (paper and e-books) and internal English classes.

If you are a motivated and talented Data Engineer seeking a challenging opportunity with a global technology company, this position is perfect for you.