Wiser Solutions Data Engineering Manager in Boston, Massachusetts
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.
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.
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.
We are looking for a strong technical manager to lead the charge on a team of like-minded individuals. As an Engineering Manager, you will not only be actively contributing to the development of the data architecture that powers our business, but also be responsible for shaping the careers of other data engineers. If you have a passion for optimization, scaling, and integration challenges, this may be the role for you.
This position can be based anywhere in the US or Mexico, with a preference for someone in the eastern or central time zone who can work with our teams in both the US and Europe.
What You Will Do
Think like our customers – you will work with product and engineering leaders to define data solutions that support customers’ business practices.
Design/develop/extend our data pipeline services and architecture to implement your solutions – 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
Foster team growth – define the goals and expectations of your direct reports to help them become more well-rounded data engineers.
Improve the quality of our solutions – help to build enduring trust within our organization and amongst our customers by ensuring high quality standards of the data we manage
Own your work – you will take responsibility to shepherd your projects from idea through delivery into production
Bring new ideas to the table – some of our best innovations originate within the team
Focus on value – shipping software that matters to the company and the customer
Proactively set personal goals with and mentors direct reports 1:1 without prompting
Promote cross-training and elimination of skill silos on the team through formal and informal knowledge sharing
Promote a culture of continuous improvement by suggesting ways for the team to improve execution
Proactively help team members meet commitments by identifying and eliminating blockers and slowdowns
Promote a workplace culture that builds camaraderie amongst team members
Promote a healthy team culture, motivating team to stretch and achieve, appropriately recognizing and rewarding team members for strong contributions
Organize and lead agile ceremonies such as daily stand-ups, planning, etc.
Delivers ongoing performance feedback and writes/delivers performance reviews
Proactively addresses performance issues on the team
Skills and Qualifications:
Bachelors/Master’s degree in Computer Science or relevant technical degree
12+ years of professional software engineering experience
Strong proficiency with data languages such as Python and SQL
Strong proficiency working with data processing technologies such as Spark and Airflow
Strong proficiency working of RDMS/NoSQL/Big Data solutions (Postgres, MongoDB, Redshift, etc.)
Strong proficiency leading teams using an Agile methodology
Solid understanding of streaming solutions such as Kafka, Kinesis/Firehose, etc.
Solid understanding of Docker and Kubernetes
Solid understanding of ETL/ELT and OLTP/OLAP concepts
Solid understanding of columnar/row-oriented data structures (e.g. Parquet, Avro, etc.)
Proven ability to transform raw unstructured/semi-structured data into structured data in accordance to business requirements
Solid understanding of AWS, Linux and infrastructure concepts
Proven ability to diagnose and address data abnormalities in systems
Proven ability to learn quickly, make pragmatic decisions, and adapt to changing business needs
Proven ability to manage direct reports and providing career guidance
Proven ability to create a team culture centered around effective collaboration, continuous improvement, and efficient execution
Understands Domain Driven Design concepts and accompanying Microservice Architecture
Passion for data, analytics, or machine learning
Experience working within a retail or ecommerce environment
Proficiency in other programming languages such as Scala, Java, Rust, etc.
EEO Statement - Wiser Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. EEO is the Law. Click here to view your rights. (http://www.virent.com/wordpress/wp-content/uploads/2014/03/EEO-is-the-Law-Poster-2009-Version-2.pdf) Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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