Market America, Inc. · 15 hours ago
Staff Data Engineer
United States
Full-time
Remote
Lead/Staff
10+ years expMarket America, a product brokerage and Internet marketing company, is seeking an experienced Staff Data Engineer for their IT team. In this role, you will be a senior member of the Data Engineering team, responsible for developing data pipelines and evolving the data architecture to support millions of customers on their global eCommerce websites.
E-CommerceMarketingOnline PortalsRetail
No H1B
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
Qualification
Required
BS or MS in Computer Science (or related field) with 10+ years of hands-on software development experience working in large-scale data processing pipelines
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
Must have skills are Apache Spark, Scala and PySpark with 2-4 years of experience building production grade batch pipelines that handle large volumes of data
Must have at least 4+ years of experience in Java and API / Microservices
Must have at least 2+ years of experience in Python
2+ years of experience in understanding and writing complex SQL and stored procedures for processing raw data, ETL, data validation, using databases such as SQL Server, Redis and other NoSQL DBs
Knowledge of Big data technologies, Hadoop, HDFS
Expertise with building events driven pipelines with Kafka, Java / Spark, Apache Flink
Expertise with Amazon AWS stack such as EMR, EC2, S3
Experience working with APIs to collect and ingest data as well build the APIs for business logic
Experience working with setting up, maintaining, and debugging production systems and infrastructure
Experience in building fault-tolerant and resilient system
Experience in building worker nodes, knowledge of REST principles and data engineering design patterns
In-depth knowledge of Java, Springboot, Spark, Scala, PySpark, Python, Orchestration tools, ESB, SQL, Stored procedures, Docker, RESTful web services, Kubernetes, CI/CD, Observability techniques, Kafka, Release processes, caching strategies, versioning, B&D, BitBucket / Git and AWS Cloud Eco-system, NoSQL Databases, Hazelcast
Strong software development, architecture diagramming, problem-solving and debugging skills
Phenomenal communication and influencing skills
Preferred
Exposure to Machine Learning (ML), LLM models, using AI during coding, build with AI
Knowledge of Elastic APM, ELK stack and search technologies such as Elasticsearch / Solr
Nice to have some experience in workflow orchestration tools such as Air Flow or Apache NiFi
Benefits
Health, dental, vision, life, short and long-term disability insurance
A 401(k) retirement plan with company match
An on-site health clinic
Company
Market America, Inc.
About Market America Worldwide | SHOP.COM Market America Worldwide | SHOP.COM is an award-winning global e-commerce and product brokerage company that specializes in one-to-one marketing and is the creator of the Shopping Annuity®.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Loren Ridinger
Chief Executive Officer
Joe Bolyard
Executive Vice President International Developmenet
Recent News
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