EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are currently in search of a Data Solution Architect to join our dedicated team. In this challenging role, you will be expected to leverage innovative and scalable technology solutions to address complex business needs. If you are a dynamic problem solver with a strong technical background and leadership skills, adept at facilitating project management and working as a team collaborator, we welcome your application.

#LI-AP13

Responsibilities

Craft proposals for the implementation and design of scalable big data architecture
Engage in customer workshops and present proposed solutions
Design, implement, and deploy high-performance, custom applications on Hadoop at scale
Define and develop network infrastructure solutions that address scaling needs and increasing traffic volumes
Standardize business and development processes, tools, and platforms for data acquisition, storage, transformation, and analysis
Design roadmaps and implementation strategies for data science initiatives including recommendation engines, predictive modeling, and machine learning
Conduct audits and reviews of existing solutions, designs, and system architecture
Profile and troubleshoot existing solutions
Generate technical documentation

Requirements

A minimum of 7 years' experience in Python or Scala development
At least 2 years in a technical leadership role
Demonstrated success in at least 2 projects involving ground-up system design and architecture
A minimum of 1 year as a Data Solution Architect or similar role
Strong SQL experience
Demonstrable hands-on experience in ETL and DWH processes
Past participation in designing, developing, and maintaining a distributed application
Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, ZooKeeper, HBase, and Cassandra
Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud
Experience in client-driven large-scale implementation projects
Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning)
Profound understanding of Agile (Scrum), RUP programming process
Strong experience in application design, development, and maintenance
Practical expertise in performance tuning and optimization, bottleneck problem analysis
Proficient English Communication skills (C1+)