Staff Data Engineer

Market America, a product brokerage and Internet marketing company that specializes in One-to-One Marketing, is seeking an experienced Staff Data Engineer

for our IT team.

As a senior member of the Data Engineering team, you will have an important role in helping millions of customers on our SHOP.COM and Market America Worldwide multi-country and multi-language global eCommerce websites intelligently find what they want within different categories, merchant offers, products and taxonomy.

We have thousands of 3rd party affiliates / feeds which goes through ETL and data ingestion pipelines before ingesting into our search systems. We have multiple orchestration pipelines supporting various types of data for products, store offers, analytics, customer behavioral profiles, segments, logs and much more.

If you are passionate about data engineering in processing millions of data, ETL processes for products, stores, customers, analytics, this is highly visible role that will provide you the opportunity to make a huge impact in our business and a difference to millions of customers worldwide. Data engineering team processes large amounts of data that we import and collect. The team works to enrich content, pricing integration, taxonomy assignments and algorithms, category classifier nodes and machine learning integration within the pipeline.

Key Responsibilities:

· Must have minimum of 10-12 years of hands-on development experience implementing batch and events driven applications using Java, Kafka, Spark, Scala, PySpark and Python

· Experience with Apache Kafka and Connectors, Java, Springboot in building event driven services, Python in building ML pipelines

• Develop data pipelines responsible for ingesting large amounts of different kinds of data from various sources
• Help evolve data architecture and work on Next Generation real time pipeline algorithms and architecture in addition to supporting and maintaining current pipelines and legacy systems
• Write code and develop worker node for business logic, ETL and orchestration processes
• Develop algorithms for better attribution rules and category classifiers
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive search, discovery, and recommendations.
• Work closely with architects, engineers, data analysts, data scientists, contractors/consultants and project managers in assessing project requirements, design, develop and support data ingestions and API services
• Work with Data Scientists in building feature engineering pipelines and integrating machine learning models during content enrichment process
• Able to influence on priorities working with various partners including engineers, project management office and leadership
• Mentor junior team members, define architecture, code review, hands-on development and deliver the work in sprint cycle
• Participate in design discussions with Architects and other team members for the design of new systems and re-engineering of components of existing systems
• Wear Architect hat when required to bring new ideas to the table, thought leadership and forward thinking
• Take holistic approach to building solutions by thinking big picture and overall solution
• Work on moving away from legacy systems into next generation architecture
• Take complete ownership from requirements, solution design, development, production launch and post launch production support. Participate in code reviews and regular on-call rotations.
• Desire to apply best solution in the industry, apply correct design patterns during development and learn best practices and data engineering tools and technologies

Required Skills & Experience: