Senior Data Engineer

<h3>Company Description</h3><p>Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We're on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally.  </p><h3>Job Description</h3><p>This is a full-time position, and hours of work are Monday through Friday, 40 hours per week. This position is remote in Poland with flexible hours, primarily working within CET time zone. We are a global company and you may be occasionally required to work outside of core working hours for meetings with different time zones. The Manager is located in the US on EST time zone. </p><p><strong><em>About the role</em></strong><em>: </em></p><p>When looking to buy a product, whether it is in a brick and mortar store or online, it can be hard enough to find one that not only has the characteristics you are looking for but is also at a price that you are willing to pay.  It can also be especially frustrating when you finally find one, but it is out of stock.  Likewise, brands and retailers can have a difficult time getting the visibility they need to ensure you have the most seamless experience as possible in selecting their product.  We at Wiser believe that shoppers should have this seamless experience, and we want to do that by providing the brands and retailers the visibility they need to make that belief a reality. </p><p>Our goal is to solve a messy problem elegantly and cost effectively.  Our job is to collect, categorize, and analyze lots of structured and semi-structured data from lots of different places every day (whether it’s 20 million+ products from 500+ websites or data collected from over 300,000 brick and mortar stores across the country).  We help our customers be more competitive by discovering interesting patterns in this data they can use to their advantage, while being uniquely positioned to be able to do this across both online and instore. </p><p>We are looking for a Senior Data Engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform.  If you have a passion for optimization, scaling, and integration challenges, this may be the role for you. </p><p><strong><em>Essential Functions</em></strong><em>: </em></p><ul><li><strong>Think like our customers</strong> – you will work with product and engineering leaders to define data solutions that support customers’ business practices. </li><li><strong>Be an agent for excellence</strong> – you will be collaborating with other teams to provide guidance on best practices with managing data effectively. </li><li><strong>Design/develop/extend our data pipeline services and architecture to implement your solutions</strong> – you will be collaborating on some of the most important and complex parts of our system that form the foundation for the business value our organization provides </li><li><strong>Foster team growth</strong> – provide mentorship to both junior team members and evangelizing expertise to those on others. </li><li><strong>Improve the quality of our solutions</strong> – help to build enduring trust within our organization and amongst our customers by ensuring high quality standards of the data we manage </li><li><strong>Own your work</strong> – you will take responsibility to shepherd your projects from idea through delivery into production </li><li><strong>Bring new ideas to the table</strong> – some of our best innovations originate within the team </li><li>Stay abreast of new technologies and identifies ways to appropriately utilize these technologies in their product area. </li><li>Assists in the curation of the Data Platform product roadmap. </li></ul><p><strong><em>Technologies We Use:</em></strong></p><ul><li><strong>Languages</strong>: SQL, Python </li><li><strong>Infrastructure</strong>: AWS, Docker, Kubernetes, Apache Airflow, Apache Spark </li><li><strong>Databases</strong>: Snowflake, Redshift, MongoDB, Postgres, MySQL, EventStore </li><li><strong>Business Intelligence</strong>: Sisense, Tableau </li></ul><h3>Qualifications</h3><ul><li>Bachelors/Master’s degree in Computer Science or relevant technical degree </li><li>7+ years of professional software engineering experience </li><li>Strong proficiency with data languages such as Python and SQL </li><li>Strong proficiency working with data processing technologies such as Spark, Flink, and Airflow </li><li>Strong proficiency working of RDMS/NoSQL/Big Data solutions (Postgres, MongoDB, Snowflake, etc.) </li><li>Strong proficiency with building data warehouses using well known modeling practices (e.g. Slowly Changing Dimensions, Data Vault, etc.) </li><li>Solid understanding of the differences between Data Lakes, Data Warehouses, and Data Marts </li><li>Solid unde