Jobs of company EPAM Systems 13

EPAM is inviting Data Delivery manager to join our Team! 

WHAT YOU’LL DO
 

Own end-to-end solution delivery on the assigned account(s)

Assure governance of processes in delivery management and production as per selected delivery model
For the top management and client - act as a single point of responsibility over any delivery related matters, including escalations, upsells, ramp-downs, etc
Take responsibility over resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
Accountable for the technical leadership regarding the delivery. Ensuring a sound and future-proof architecture is planned and the implementation meets the technical quality standards
Coordinate between multiple disciplines, stakeholders
Establish and manage long-term partnerships with the client(s)
Address client(s) issues and identify and manage engagement risks
Coordinate the preparation of customer proposals and statements of work
Ensure that projects are delivered in line with EPAM processes and methodologies; Well versed in different delivery models, with focus on agile approaches
Make sure that the customer executes their responsibilities on the engagements
Build up delivery plan along with estimations on timeframes, quality and quantity of resources required to successfully deliver projects
Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
Measure and improve delivery productivity
Support sales activities; participate in bid process, provide technical and management expertise to win bids
Help mentoring and coaching other delivery managers
Actively contribute in EPAM-wide delivery management community
REQUIREMENTS
Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions, industry best practices
Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
At least 5 years of experience in gathering and understanding customer business requirements to introduce Big Data technologies
Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc)
Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc)
Experience with data visualization, aware of various tools, technologies
Good understanding of classical analytics methods; including relevant theories
Good understanding of various delivery approaches, well versed in agile
Understanding data related security challenges
Experience with one or more leading cloud providers (AWS/Azure/GCP), leading role in on-prem to cloud migration project(s)
High degree of comfort to present both to large or small audiences
Ability to manage multiple tasks and projects in a fast-moving environment

5+ років досвіду з Data Engineering
Досвід роботи з Azure: Data Factory, Data Lake, Databricks, Azure Functions
Практичний досвід і високий рівень володіння Python
Практичний досвід з Spark та Kafka
Вміння інтегрувати, трансформувати і консолідувати дані з різних структурованих і неструктурованих систем даних в структуру, придатну для побудови різних аналітичних рішень
Хороші комунікативні навички, вміння працювати в команді
Досвід роботи в Agile середовищі (Scrum, Kanban)
Досвід роботи з Azure ML буде перевагою
Знання письмової та усної англійської мови на рівні Upper-Intermediate і вище (B2)

EPAM у пошуку Senior Big Data Software Engineer для розробки та підтримки внутрішніх систем сховищ даних для продуктів та додатків нашого клієнта

Навички

• Більше 4 років з досвіду в розробці сховищ даних та проєктуванні баз даних
• Експерт в SQL з досвідом роботи не менше 3+ років
• Хороші навички розробки на Python 
• Розробка програмних рішень з використанням компонент екосистеми Hadoop(Yarn, MapReduce, Hive, HDFS)
• Практичний досвід з Spark та Kafka
• Досвід роботи з хмарними сервісами AWS (EMR, S3, lambda)
• Відмінні аналітичні навички та навички комплексного вирішення проблем
• Хороші комунікаційні та презентаційні навички
• Уважність до деталей
• Здатність дотримуватися стислих термінів та вмінння розставляти пріоритети

Буде перевагою

• Досвід роботи в адмініструванні баз даних
• Досвід роботи з AWS Redshift
• Практичний досвід з pyspark
• Розуміння підходів масштабування сервісів/аплікацій

5+ years of hands-on experience in the big-data field: Hadoop, Spark, Spark Streaming, MR.

-3+ years of experience with relevant cloud data services (AWS, Azure, GCP) like EMR, Glue, S3, Lambda, Fargate, DynamoDB, ADF, Azure functions, Azure Blob Storage, DataProc & DataFlow, BigQuery.

-Knowledge of DataBricks will be significant benefit for the candidate.

- Excellent knowledge and hands-on experience of SQL in context of Big Data: Spark SQL, Hive QL

- Ability to understand and optimize Spark execution plans via Spark UI

- Excellent knowledge of Python or Scala including Functional Scala Libs (Cats) or Java SE

- Batch processing and ETL principles in Data Warehouses.

- Data completeness signals and orchestration

- Approaches for historical reprocessing and data correction

- Handling bad data and late data in inputs and outputs

- Schema migrations and datasets evolution

- B2+ Strong speaking English.

- Ability to learn fast new set of tools and technology used internally: Radar, platform services, telemetry providers, Spark-as-a-Service, build system and much more.

Will be a plus

- Understanding of functional programming ideas and principles.

- Experience in building and using web services.

- Experience with any of Teradata, Vertica, Oracle, Tableau.

- Spark Streaming and Kafka.

- Experience or knowledge of: Apache Iceberg, Trino (Presto), Druid, Cassandra, Blob storage like AWS.

- Understanding or experience with Azkaban or Airflow.

Huge fortune top3 healthcare vendor partnered with EPAM to accelerate their digital transformation. One of the program we started working together on is Cloud transformation and Cloud migration. We are looking for experienced developers passioned in big data and cloud technologies to join our team of professional. 

4+years of experience with Big Data

Detailed requirements: 

Mandatory 

• English  

• Overall experience in IT area 

• Python 

• AWS (EMR, Lambda, Kinesis, EKS, S3)  

• Spark (core, sql)  

• Kafka, Kafka streams 

• SQL 

• Linux/Unix OS Good to have 

• NoSQL (HBase, DynamoDB) 

• CDH platform 

• Yarn

Responsibilities

Ensure high quality performance by implementing and refining robust data processing using Java, Scala or Python

Build scalable analytics solution, including data processing, storage and serving large-scale data through batch and stream

Help operationalize machine learning models and build apps

Contribute to making our data platform more scalable, resilient and reliable

Participate in code review sessions

Requirements

5+ years of experience with Java, Scala or Python

Data engineering skills (data ingestion, storage and processing) in batch and streaming solutions using Kafka and Spark

Understanding and practical experience with AWS

Skills with big data framework such as Hadoop & Apache Spark, NoSQL systems such as Cassandra or DynamoDB, streaming technologies such as Apache Kafka

Understand reactive programming and dependency injection such as Spring to develop REST services

Experience working with data scientists to operationalize machine learning models and build apps to make use of power of machine learning

Experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid 

Good problem-solving skills

Spoken and written English level - B1+ and higher

Responsibilities

• Design and develop AI/ML-enabled solutions to search, visualize and explain data from various sources (data warehouses, databases)
• Compare performance of different LLMs for particular business problems
• Test and evaluate AI/ML solution with objective to meet defined criteria for accuracy and coherence
• Contribute to continuous improvement of solution performance and cost efficiency

Requirements

• University degree in Computer Science, Data Science or equivalent practical experience
• Deep understanding of capabilities and challenges of applying Generative AI in business context
• Familiarity with GenAI/LLM frameworks (e.g. Langchain, LlamaIndex, haystack)
• Proficiency in Python and hands-on experience with ML frameworks and platforms (e.g. Tensorflow, PyTorch, MLflow)
• Experience working with multi-dimensional data cubes and building analytics on top of them
• Ability to work in cross-functional teams in a dynamic business environment based on agile development principles
• Capability to describe business use-cases, implementation vision and technology choices for both technical and non-technical audiences

We are looking for an experienced data engineer with design and

development experience in automating scalable and high-performance data processing systems (batch and/or streaming) on the cloud (AWS preferably).

What You’ll Do

● Design our data models for optimal storage and retrieval on the cloud and to meet critical product and business requirements

● Build scalable and highly-performant distributed data processing systems as we migrate to the cloud

● Work closely with our business stakeholders to flesh out and deliver on requirements in an agile manner

● Set and evolve data standards and best practices

● Contribute to the data architecture and align it with the business and technology

● Adhere to and enforce software development best practices on the cloud in areas including but not limited to CI/CD, code reviews, automated testing, operational excellence, data quality etc.

What You Should Have

● 5+ years of experience with Big Data

● 4+ years programming experience in Java Python

● 3+ years experience using an enterprise cloud-based solution

● 3+ years implementing data processing pipelines on the cloud (batch and/or streaming)

● 3+ years of experience with Spark, Kafka

● Advanced understanding of SQL, relational and NoSQL databases required

● Experience with various data access patterns, streaming technology, data quality, data modeling, data performance, and cost optimization

Responsibilities

• Development of scalable, secure, and high-performing software solutions
• Conducting code reviews to ensure coding standards are met
• Enforcement of team's adherence to standard engineering practices, including testing and CI/CD
• Performance of testing and optimization to enhance system efficiency
• Integration of monitoring and observability capabilities into the software solutions

Requirements

• Minimum of 5 years' experience in Data Software Engineering or a related field
• At least 1 year of relevant leadership experience
• Proficiency in AWS, Apache Kafka, PySpark, Snowflake
• Proven experience in developing scalable, secure, and reusable data transformation and processing solutions
• Comprehensive knowledge of integration with monitoring and observability capabilities
• Experience in performance testing and optimization
• Solid understanding of standard engineering practices such as testing and CI/CD
• Ability to conduct code reviews and enforce adherence to coding standards
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
• Bachelor's degree in Computer Science, Engineering, or a related field
• English communication skills at a B2+ level

Responsibilities:
Assure governance of processes in delivery management and production as per the selected delivery model

• Take responsibility for resources needed for delivery and ensure sound skills and seniority staffing according to the delivery roadmap
• Coordinate the preparation of customer proposals and statements of work
• Ensure that projects are delivered in line with EPAM processes and methodologies, with a focus on agile approaches
• Build up delivery plan along with estimations on timeframes, quality, and quantity of resources required to successfully deliver projects
• Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
• Measure and improve delivery productivity
• Support sales activities and participate in the bid process
• Help mentoring and coaching other delivery managers
• Actively contribute to EPAM-wide delivery management community
  
  Requirements:
• At least 5 years of experience in gathering and understanding customer business requirements to introduce Big Data technologies
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, and Business Intelligence. Familiar with relevant technological solutions, industry best practices
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
• Familiarity with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc.)
• Hands-on knowledge of some of the tools and techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc.)
• Good understanding of classical analytics methods including relevant theories
• Strong background experience with Programming Languages such as Python, Scala, or Java
• Experience with one or more leading cloud providers (AWS/Azure/GCP), and leading role in on-prem to cloud migration project(s)
• Strong SQL experience 
• Data Architecture understanding
• Strong Client Management skills
• Proficiency with Cloud Data
• Strong Experience in Software Delivery Cycle and familiarity with Agile methodologies
• Excellent communicational skills with C1 English level proficiency

• Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
• Participate in Data and Big Data initiatives on a company level
• Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
• Conduct solution architecture review/audit, calculate and present ROI
• Create and present solution architecture documents with deep technical details to customer and implementation teams
• Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
• Lead implementation of the solutions from establishing project requirements and goals to solution “go-live”
• Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
• Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
• Create and follow personal education plan in the technology stack and solution architecture
• Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations
  
  Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
• Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
• Experience with building traditional Cloud Data Warehouses, Data Lakes
• Knowledge of high load and IoT Data Platform architectures and infrastructures
• Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
• Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
• Able to deliver Data Analytics projects and architecture guidelines
• Strong in research, comparison, and selection of tools / technologies / approaches to be used
• Practical experience in performance tuning and optimization, bottleneck problem analysis
• Strong communication skills, experienced in team coordination skills and solution implementation supervision
• Good in Agile development methodology, Scrum in particular
• Solid skills in business analysis, network/stack architecture, troubleshooting, support
• Fluent English

Requirements:

Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients

• Lead cross functional EPAM and/or EPAM’s client’s teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps
• Work with clients to deliver AI Products which provide value to end-users
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings
• Contribute to the growth of the Data Science talent pool at your location
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning
• Work closely with DevOps on infrastructure and release planning
  
  Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities
• Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)
• Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership. This role is well-regarded for leaders with a strong mathematics background and a desire to work hands-on with Machine Learning (ML) technologies
• Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position; Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ

Nice to have:
Domain Expertise (nice to have): deep expertise within one or more business domains (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)

We are seeking a talented Data Solution Architect to join our team in the automotive sector.

This role involves working with innovative recon software that simplifies documentation, optimizes processes, and delivers instant insights into business operations. Our goal is to provide the most dynamic and user-friendly technology solutions for automotive reconditioning businesses.

In this dual role, you will take on the responsibilities of both an architect and an engineer. As an Architect, you will play a crucial role in designing schemas and pipelines, defining transformations, and orchestrating efficient data insertion into an analytics-focused relational structure. As an Engineer, you will execute these designs, crafting a robust and efficient system, and utilizing your development expertise to enhance data processing capabilities.

Our current data originates from a MongoDB dump stored in Snowflake, and familiarity with these technologies will be advantageous.

This role presents a fantastic opportunity for individuals who excel in both engineering and architectural disciplines and are eager to make a significant impact on our client's business operations.

The remote option applies only to the Candidates who will be working from any location in Ukraine.