EPAM SYSTEMS is looking for employees for positions:
user researcher
Responsibility
we’re looking for a Senior User Researcher with a specialism in Neuroscience to join the EMEA Research & Insights team
you will play a pivotal role in shaping our understanding of user behaviour through the lens of neuroscience
are you a neuroscience specialist? Have you led on biometric projects?
you will lead biometric projects and collaborate with cross-functional teams to drive cutting-edge biometric research and spearhead biometric research efforts within the Research & Insights practice
lead developer
Responsibility
as Lead Data Engineer, you will be building data systems and applications to support decision making
this position will require advanced technical depth and experience, technical leadership, and multi-faceted communication skills
if yes, a new position just opened up for a Lead Data Developer with expertise in Spark and Databricks to join our Data Practice team and work with EPAM strategic clients
can you communicate efficiently and influence quicker deliveries?
you will focus on developing and maintaining data pipelines in Microsoft Azure, participating in data migration from on-premise to Azure and building components for central enterprise data platforms
are you passionate about big data development? Do you enjoy working with both technical and business stakeholders to translate vision and designs into sustainable, customer-focused solutions?
provide technical expertise and recommendations in assessing requirements and initiatives to support and enhance our existing applications
Requirements
extensive knowledge and experience with Databricks
strong understanding of reusable software design patterns
experience in Azure Data Factory, Azure Data Lake and Azure Log Analytics, Azure KeyVault and Git
design and implementation of production-grade solutions
delivering high-quality code, focusing on simplicity, performance, maintainability and scalability
practical experience in applying an agile way of working and in applying DevOps methodologies
excellent analytical and conceptual skills to understand complex technology stacks and their dependencies
5+ years of experience in data development using Spark, preferably in an enterprise environment on Microsoft Azure
lead software engineer
Responsibility
provide partnership and support to SME’s and Tech Leads to ensure delivery on commitments
build and maintain secure and compliant production data processing pipelines by using different tools and techniques
design, implement, monitor, and optimize data platforms to meet the data pipelines needs
as a lead team member of the Data platform engineering team, the successful candidate will be responsible for the design, implementation and functionality of data products
this role combines technical and people management skills for data platform, as well as knowledge of financial data, big data processing and management, and cloud-based data warehouse solutions
design and operationalize large scale enterprise data solutions and applications using one or more Azure data and analytics services
ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss
design and implement data engineering, ingestion, and curation functions on Azure cloud using Azure native or custom programming. Create data transformation and loading workflows
Requirements
proficient in data processing languages such as SQL, JAVA, C# or Scala
strong notions of security best practices
understand the data through exploration, experience with processes related to data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement
depending on seniority, relevant experience in Data Platforms and Azure’s PaaS offerings
proficient in integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions
retail manager
Language
english
Responsibility
oversee end-to-end client delivery from initiation through the entire project lifecycle, ensuring successful delivery in line with EPAM processes
manage customer relationships and expectations, representing delivery at the governance level
coordinate multiple activity streams and clients, ensuring seamless delivery across all aspects, including finance, sourcing, implementation, and business outcomes
collaborate closely with multidisciplinary teams, including product owners, architects, engineers, and quality assurance, to drive estimates, delivery plans, and retrospectives
proactively identify and manage engagement risks, escalating major issues early on
we are currently seeking a highly technical, proactive, and people-smart Delivery Manager to lead end-to-end project delivery for our clients in the retail / FMCG sector
participate in business development efforts for both existing clients and new projects, continuously identifying new opportunities
as a key member of our UK Delivery Team, you will be responsible for managing complex programs, projects, and multiple workstreams across various domains, and work with local and global delivery teams
Requirements
this position requires a strong understanding and experience of digital commerce channels, fashion and luxury goods industry
hands-on experience in delivering complex digital transformation projects and managing customer relationships
profound understanding and practical experience with Software Development Life Cycle, various methodologies, and Agile delivery
experience with different engagement models and working with distributed client-side teams
exceptional communication, presentation, planning, organizational, leadership, and stakeholder management skills
self-motivated, reliable, able to multitask and work in a fast-paced environment, with a strong focus on meeting deadlines
technical consultant
Responsibility
engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
collaborate with cross-functional teams to define project scope, develop data models, and apply appropriate ML algorithms to deliver high-quality solutions
lead the evaluation and selection of ML/AI tools, frameworks, and technologies, ensuring their alignment with business objectives and technical requirements
the role offers an exciting opportunity to work with leading-edge technologies, deliver ML/AI-driven solutions and play a highly visible role partnering closely with multiple clients and our Data leadership teams globally
foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients
engage client stakeholders at the executive / C-level, helping them drive enterprise-wide agenda to maximize growth
provide guidance and mentorship to junior team members, fostering their professional growth and development in ML/AI
Requirements
bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience
strong experience in a senior/leadership role within Data & Analytics/ML/AI
proven track record in designing and implementing ML/AI solutions
solid understanding of ML algorithms, data pre-processing, feature selection, and model evaluation techniques
demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
technical proficiency in programming languages such as Python, R, or Java, and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn
confident in expressing points-of-view, making recommendations and presenting analysis and recommendations up to board level where appropriate
excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions
account manager
Benefits
mutual
Responsibility
establish and maintain relationship with the clients. Identify key stakeholders and relationships
accountable for building an annual account plan and regular management if the plan
manage individual projects & overall portfolio profitability by performing regular P&L analysis, planning, and executing corresponding adjustments
work with Delivery to execute customer projects successfully. Ultimate accountability for delivery success within your portfolio
act as trusted advisor within the financial services industry and provide consultative solution advice to clients in solving core business issues
reporting to EPAM exec as part of the Quarterly Business Review process
work with EPAM Business Development team to identify new opportunities within existing engagements as well as supporting the development of new client acquisition
responsible for portfolio of accounts of $2-20M, with mixed level of complexity including some high complexity due to growth, # of geographies, and complex offerings
Requirements
ability to consult CXO level stakeholders on trends & opportunities with Digital, Business & Technology transformation
hunger to consultatively sell new services, with a demonstrated track record of over delivery against targets
account Management experience and experience managing and working with offshore application development teams
experience of outsourcing account/delivery management/project management experience
strong understanding of Software Development and Digital Transformation
excellent communication, presentation, organizational, and planning skills are necessary
self-motivated, multitasking, reliable to deliver on time, a quick-thinker, be able to work in a fast-paced work environment
minimum of a Bachelor’s degree, MBA or equivalent business experience preferred
sales executive
Responsibility
grow Salesforce business for EPAM in new and existing clients
meet and exceed your Salesforce service revenue quota for your region
drive all Sales related sales and marketing activities within your region and working with you peers cross regions to share knowledge
work with Salesforce to identify opportunities and joint target accounts
coordinate with the EPAM and partner teams regarding joint opportunities, including pipeline and forecast reviews
propagate across the regional Salesforce organization EPAM’s capabilities and success stories to help stimulate partner-based lead referrals
drive joint marketing initiatives with marketing teams
coordinate and oversee the preparation of business' value propositions, sales plans, RFPs/RFQs/ RFIs; by serving as liaison to Business Units, sales, partner, and executive teams
Requirements
relevant experience in all aspects of the sales life cycle
experience with selling Salesforce and the Salesforce partner eco-system
experience working with clients in the Retail and Consumer Goods domain is required
solutions selling skills and demonstrated success developing and maintaining client and internal relationships
ability to communicate effectively across teams with strong verbal, written, collaboration and interpersonal skills
strong presentation skills
origination: learning EPAM’s value proposition, researching and selecting prospects; contacting and engaging prospects through proactive outbound calls/emails/Linkedin
high energy level and ability to work independently
marketing manager
Responsibility
be the primary relationship owner with the Partner’s marketing team aligning on joint campaigns and event participation
collaborate and be a dedicated team-member with the Partner Practice team, including Competency Center head, SME’s , dedicated Business Development/Sales leads and Alliances team on joint Market strategy content, case study creation, award submissions, PR opportunities and other marketing activities related to partner
technical engineer
Language
english
Responsibility
configuration from Inbound to outbound including integration with WCS systems
modification testing, incident and problem management for WMS-related processes, and ensuring that any customization and modifications are well-documented
crafting and configuring technical solutions related to WMS based on functional and non-functional requirements, either independently or in collaboration with the vendor
ensuring knowledge transfer to the production support team after each implementation and supporting testing activities, including the creation of test plans/scripts for relevant test phases
Requirements
working experience in a distribution environment
in-depth knowledge of Manhattan WMoS and/or Manhattan Active WM
experience in implementing E2E Manhattan WMS full lifecycle
deep curiosity about supply chain processes and applications
knowing warehouse operations from high level
ability to work efficiently in a scrum team as part of our Scaled Agile Framework for Lean Enterprise
capability of completing actions independently
data architect
Responsibility
these are great opportunities to work with EPAM’s senior Tech Leaders, our Global Architects/Engineers and those from our client accounts
help clients learn and use AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion Tool
deliver on-site technical engagements with clients which includes understanding client requirements and creating packaged Data & Analytics service offerings
work with AWS engineering and support teams to convey partner and client needs and feedback as input to technology roadmaps
engage with the client’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
EPAM is looking for technically hands-on Senior Data & AWS Architect in London to be part of this continued acceleration aligned to critical client facing large scale projects
EPAM is looking for technically hands-on Senior Data Architects in London to be part of this continued acceleration aligned to critical client facing large scale projects
help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service , Amazon EMR and Amazon Redshift
Requirements
A Bachelor’s/Master’s degree in Computer Science, Engineering or similar or relevant work experience
proven hands-on experience acting as Senior Data Architect with extensive experience in leading large-scale full-cycle MPP enterprise data warehousing projects
extensive experience with data and application architectures
experience implementing AWS services in a variety of distributed computing, enterprise environments
extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development
experience designing secure data pipelines, ETL and for significant platforms utilising integrations across multiple technologies both traditional and cloud-based solutions
experience designing secure data pipelines, ETL and for significant platforms utilizing integrations across multiple technologies both traditional and cloud-based solutions
strong experience of Data Lake/Hadoop platform implementation, Apache Hadoop/Spark