Lead Data Scientist Jobs

EPAM is looking for Lead Data Scientists.

Senior Data Software Engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer to join our team.

The right candidate will have a strong technical background with expertise in Apache Spark, Microsoft Azure, and Python. This position offers a unique opportunity to work on a high-impact project with one of the world's most recognized brands.

responsibilities

Collaborate with cross-functional teams to build and maintain the data integration solution
Develop, build, and optimize data pipelines using Apache Spark, Microsoft Azure, and Python
Ensure data pipelines are scalable, maintainable, and reliable
Take data science models and make them production ready
Develop and maintain forecasting models to support business decisions
Ensure data quality and consistency across all data sources
Monitor and optimize data pipelines to ensure efficient and effective data processing
Collaborate with data scientists to develop and implement machine learning models
Work with the team to continuously improve and optimize the data integration solution for Fedex
Stay current with emerging technologies and trends in data software engineering

requirements

At least 3+ years of experience in data software engineering or similar roles
Expertise in Apache Spark, Microsoft Azure, and Python
Strong knowledge of forecasting models, data science, and MLOps
Experience working with Databricks to build, maintain, and optimize data pipelines
Ability to take data science models and make them production ready
Experience with Git for version control
Understanding of basic Azure concepts including clouds, regions, ADLS, and compute
Strong analytical and problem-solving skills with the ability to think critically and creatively
Experience working in Agile development environments
Excellent English communication skills, both written and verbal (B2+ level)

nice to have

Experience with Panda for data manipulation and analysis
Strong knowledge of SQL and relational tables
Understanding of statistical models and the ability to develop models utilizing Python, Spark, etc.
Knowledge of ML tools space

Senior Java Data Pipeline Engineer

Java

Google Cloud Dataflow, Spring, Google Cloud Platform

40 hrs/week

12+ months

India

We are currently seeking an experienced Senior Java Data Pipeline Engineer to join our team remotely.

We are currently seeking an experienced Senior Java Data Pipeline Engineer to join our team remotely . In this role, you will focus on designing and implementing robust data pipelines in Google's DataFlow environment using Java and Apache Beam to efficiently process large amounts of data. Your work will incorporate the Spring Framework, a microservices system supporting our pipelines. You will also employ Google Cloud Platform services to deploy and manage data pipelines, ensuring high availability and reliability.

responsibilities

Design and create robust data pipelines using Java and Apache Beam in Google's DataFlow environment
Employ the Spring framework to support our pipelines
Use Google Cloud Platform services to deploy and manage data pipelines
Collaborate with data scientists and analysts to implement solutions for data modeling, mining, and extraction processes
Optimize data pipelines for performance and scalability, identify bottlenecks and implement improvements
Develop and maintain documentation for data pipeline architectures and operational procedures
Ensure data integrity and compliance with all governance and security policies throughout the data processing lifecycle
Monitor pipeline performance, implementing logging and alerting mechanisms to preemptively detect and address issues

requirements

A Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field
At least 3 years of experience in data pipeline development, backed by a strong Java and cloud-based data processing technology background
A proven track record of designing, implementing, and optimizing data pipelines capable of processing large data sets in a cloud environment
A thorough understanding of the Spring Framework, including Spring Boot, for building high-performance applications
Hands-on experience with Google DataFlow and Apache Beam for building and managing data pipelines
Experience with GCP services, particularly those related to data storage, processing, and analytics
Proficiency in using version control systems, such as Git for code management and collaboration
B2+ English level proficiency

Lead PHP Developer

PHP

PHP Components and Frameworks, REST API

40 hrs/week

12+ months

Argentina, Chile,

and Others

Argentina, Chile, Colombia, Mexico, Uruguay

We are looking for a Lead PHP Developer to join our dynamic team and contribute to developing and maintaining our web-based applications.

We are looking for a Lead PHP Developer to join our dynamic team and contribute to the development and maintenance of our web-based applications. In this position, you will be integrating AI models, ensuring the scalability, security, and performance of AI integrations, and collaborating with cross-functional teams to deploy AI solutions. The ideal candidate will possess a strong background in Full-Stack Software Development and a passion for enhancing user experience through innovative AI technologies. Embark on an exciting new journey in your career with EPAM!

responsibilities

Develop and maintain web applications using PHP and React
Ensure seamless integration of AI models into web applications to enhance functionality and user experience
Collaborate with data scientists and engineers to integrate AI models
Deploy AI solutions effectively, meeting performance, scalability, and security requirements
Write clean, maintainable, and efficient code following best practices
Troubleshoot and debug applications, providing timely and effective solutions to issues
Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to support AI and analytics initiatives
Participate in code reviews and provide constructive feedback to peers
Stay updated with emerging technologies and industry trends in AI and web development
Proactively implement new tools and practices to enhance application performance and functionality
Develop and maintain comprehensive documentation for software and AI integration processes
Implement best practices for data management, ensuring data security and compliance with relevant regulations

requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
5 years minimum experience in full-stack development
1+ years of relevant leadership experience
Demonstrated experience in integrating AI models into web applications
Strong proficiency in PHP, React, AWS, and MySQL
Knowledge of data engineering tools and practices, including data warehousing and ETL processes is a plus
Familiarity with DevOps practices and cloud platforms (AWS, Azure, or GCP) is desirable
Excellent collaboration and communication skills, with the ability to work effectively in a team environment
Strong problem-solving abilities and attention to detail
Commitment to continuous learning and professional development

nice to have

Experience with machine learning frameworks and libraries
Previous experience in a similar role in the tech industry
Knowledge of additional programming languages such as Python or Java
Certification in cloud technologies or data management

Senior Python Data Developer (Databricks)

Data Software Engineering

Databricks, Python, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a highly skilled and experienced remote Senior Python Data Developer with a background in Databricks to join our team.

In this role, you will be responsible for building an enterprise-grade data platform, establishing data governance and data quality.

responsibilities

Build an enterprise-grade data platform
Establish data governance and data quality
Implement reusable Databricks components for data ingestion and analytic
Work collaboratively with architects, technical leads and key individuals within other functional groups
Actively participate in code review and test solutions to ensure they meet best practice specifications
Write project documentation

requirements

At least 3+ years of experience as a Python Developer
Expertise in DSE, Python and Azure Databricks
Experience with data modelling and hands-on development experience Big Date
Cloud experience in designing, administering scalable and fault-tolerant systems
Strong data-oriented personality and compliance awareness
Experience with Amazon Web Services and SQL
Upper-intermediate English level (B2+)

Senior Data Software Engineer

Data Software Engineering

Databricks, Python, Microsoft Azure

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a global leader in building Enterprise Data Platform and Data Products on top. We are currently seeking a talented and experienced developer to work on a cutting-edge project involving the design, development, and implementation of high-performance data solutions. You will have the opportunity to collaborate with other experts in the field, and work with the latest tools and technologies to build innovative solutions that will impact businesses worldwide.

responsibilities

Design, develop and maintain data processing pipelines and data products to support business needs and objectives
Collaborate with cross-functional teams to ensure high-quality deliverables
Provide technical leadership and guidance to other developers in the team
Participate in code review and ensure code quality and adherence to standards
Work with stakeholders to define requirements and develop solutions that meet their needs
Develop, test and deploy scalable and performant data solutions
Ensure the reliability, availability, and scalability of data systems
Stay up-to-date with the latest Big Data technologies and trends and apply them to solve business problems
Drive continuous improvement and optimization of data processing pipelines

requirements

At least 3+ years of experience in building Data Platform
Successful implementations of Big Data high-performance solutions
Expertise in Python and Databricks for developing and implementing data solutions
Experience with Microsoft Azure Big Data Services for data processing and storage
Experience with Event-driven architecture for building scalable and high-performance applications
Solid knowledge of Data Architecture and Data Modeling
Familiarity with Agile methodologies for software development
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Machine Learning and AI technologies
Experience with Spark and Hadoop
Experience with NoSQL databases

Senior Data Software Engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a leading tech firm. In this role, you will be responsible for designing, building, and optimizing robust data pipelines to support our cutting-edge applications. The successful candidate will have deep expertise in one of the languages (Python, Spark, PySpark, SQL) and be able to build within dev and enable deployment to production. We are seeking a thoughtful and reliable engineer who is capable of tying together solutions across systems and delivering end-to-end production solutions.

responsibilities

Design and implement scalable data pipelines to support our cutting-edge applications
Ensure data quality and data accuracy across all stages of data processing
Collaborate with cross-functional teams to understand business requirements and develop solutions that meet their needs
Develop and maintain codebase in accordance with industry best practices and standards
Troubleshoot and resolve issues in a timely and effective manner
Optimize data processing algorithms and improve application performance
Ensure compliance with data security and data privacy regulations
Conduct code reviews and ensure high code quality and compliance with standards and guidelines
Participate in architectural and technical discussions to help shape the product roadmap
Stay up-to-date with emerging trends and technologies in data engineering and analytics

requirements

At least 3+ years of experience as a Data Software Engineer or in similar roles
Expertise in one of the languages (Python, Spark, PySpark, SQL) for building scalable and high-performance applications
Experience with Microsoft Azure for cloud-based infrastructure and application management
Experience using Databricks for building robust data pipelines
Experience using Azure DevOps, GitHub, or other version control systems
Familiarity with developing end-to-end production solutions
Ability to tie loose ends together for solutions across systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with GCP and AWS cloud platforms
Experience with Apache Kafka and Apache Beam for building data pipelines
Experience with machine learning and data science tools and frameworks

Senior Data Software Engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer with experience in PySpark, Azure Data Factory, and advanced SQL for the project.

The ideal candidate must have at least 2 years of solid/hands-on experience in Data Software Engineering with primary skills in Big Data and a strong data background.

responsibilities

Conduct data analysis and troubleshootin
Plan and implement new requirements/data entities on ED
Provide support for integration testing
Make sure data pipelines are scalable and efficient

requirements

3+ years of relevant work experience
Must have skills in DSE Python and Azure Databricks
Familiarity with EDL changes in DB Views/Stored procedures and integration testing support
Advanced knowledge of PySpark, Azure Data Factory, and SQL
Ability to collaborate effectively with the team
Excellent communication skills with an upper-intermediate level of English

nice to have

Experience with HDInsight, Azure Data Lake, Data API, Spark, Scala, and Kafka will be an added advantage

Senior Data Software Engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a global leader at the forefront of data analytics and insights. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful data-driven solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Design and develop new features using the Agile development process (Scrum)
Prioritize and ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of systems
Maintain and troubleshoot code in large-scale, complex environments.
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3+ years of production experience in Data Software Engineering
Be hands-on with deep expertise in server development in Python and PySpark
Deep expertise in Azure Data Factory for building scalable and high-performance applications
Experience with Advanced SQL for designing and managing database schema, including procedures, triggers, and views
Experience in Data analysis and troubleshooting
Knowledge of Integration testing support for version control, integration, and deployment
Support applications and systems in a production environment, ensuring timely resolution of issues
Reviewing requirements and translating them into a documented technical design for implementation
Exposure to Databricks, hdinishght, azure data lake, data api, Spark, Scala, Kafka for application packaging and deployment
Expertise in Big Data Primary skills and Data background for designing and building scalable applications
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with EDL changes in DB Views/Stored procedures is a plus

Senior Data Software Engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer . We are actively seeking a hands-on and deeply technical engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment, with a focus on Databricks workflows, APIs, and Data Engineering.

responsibilities

Design and develop new features using the Agile development process (Scrum)
Prioritize and ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of systems
Maintain and troubleshoot code in large-scale, complex environments.
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3 years of production experience in Data Software Engineering
Expertise in Databricks, Microsoft Azure, PySpark, Python, and SQL for building both within development and enabling deployment to production
Experience with Azure DevOps, GitHub, (or others), and version control for effective project management
Ability to develop end-to-end production solutions
Strong experience working on one or more cloud platforms such as Azure, GCP, AWS
Experience in building out robust data pipelines
Ability to tie loose ends together for solutions across systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with REST APIs and Power BI would be a plus

Senior Data Software Engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Become a key player in our remote team by taking on the role of a Senior Data Software Engineer dedicated to a project centered around Databricks workflows, APIs, analytical development, and data engineering.

In this role, your primary focus will involve constructing and sustaining intricate data pipelines, facilitating seamless deployment to production. Your responsibilities extend to crafting end-to-end production solutions while engaging with cross-functional teams to deliver top-notch results.

responsibilities

Engage in the Agile development process (Scrum) to conceive and implement innovative features
Prioritize and uphold high-quality standards throughout each developmental phase
Ensure the dependability, accessibility, performance, and scalability of systems
Troubleshoot and maintain code within expansive, intricate environments
Work in tandem with Developers, Product and Program Management, and seasoned technical professionals to furnish customer-centric solutions
Provide technical insights for new feature requirements in collaboration with business owners and architects
Stay abreast of industry trends and emerging technologies for continuous improvement
Champion the execution of solutions aligned with business objectives
Guide and mentor less seasoned team members, fostering skill enhancement and career growth
Participate in code reviews, ensuring adherence to standards and code quality
Collaborate seamlessly with cross-functional teams to achieve project objectives
Actively contribute to architectural and technical discourse

requirements

A minimum of 3 years of hands-on experience in Data Software Engineering
Proficiency in Databricks, Microsoft Azure, PySpark, Python, and SQL for development and deployment in production
Familiarity with Azure DevOps, GitHub (or alternative platforms), and version control for efficient project management
Capability to develop comprehensive end-to-end production solutions
Robust experience on one or more cloud platforms such as Azure, GCP, AWS
Proven track record in constructing resilient data pipelines
Capacity to integrate disparate elements for solutions spanning multiple systems
Exceptional communication skills in both spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with REST APIs and Power BI would be an advantage

Lead Data Scientist Jobs

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