Data Software Engineer Jobs

At EPAM Anywhere, we recognize the pivotal role data plays in today’s digital landscape. Our commitment to innovation in data engineering is deeply embedded in our culture, driving us to stay at the forefront of technological advancements. We leverage the latest tech stacks and follow the best software development practices, ensuring our solutions are not only innovative but also scalable and reliable. 

Benefits of joining the EPAM Anywhere data engineering team

Choosing a career in data engineering at EPAM Anywhere opens the door to numerous benefits that extend far beyond the conventional job perks. Here’s what sets us apart:

• Cutting-edge projects: Work on top-tier projects for global clients, using the latest technologies in big data, analytics, and cloud services. Our diverse project portfolio ensures that you’re always challenged and engaged, enhancing your skills and knowledge.

• Transparent career growth: Our transparent promotions and personalized growth plans are designed to help you achieve your career goals. Whether you’re looking to advance into expert or managerial tracks, EPAM Anywhere provides the support and opportunities you need to succeed.

• Continuous learning and development: Gain limitless access to courses, mentoring programs, and professional development opportunities. We invest in your growth, offering resources to keep you at the cutting edge of data engineering practices and technologies.

• Global community and remote flexibility: Join a vibrant community of data engineering professionals from around the world. Enjoy the flexibility of remote work, allowing you to balance your professional and personal life effectively.

• Competitive compensation: Benefit from a competitive pay structure that grows with you. At EPAM Anywhere, we ensure that your hard work and contributions are recognized and rewarded accordingly.

Joining EPAM Anywhere’s data engineering team means more than just a job; it's a pathway to shaping the future of technology, participating in a community of like-minded experts, and building a fulfilling career tailored to your aspirations. If you're passionate about data, innovation, and continuous learning, EPAM Anywhere is where you belong.

General requirements for data software engineers at EPAM Anywhere

Educational qualifications

To join the EPAM Anywhere team as a data software engineer, candidates are typically expected to have a strong educational foundation in a relevant field, such as a bachelor's or master's degree.

Professional experience and technical expertise

In addition to educational qualifications, EPAM Anywhere values practical experience and a robust set of technical skills. Here are the general requirements related to professional experience and technical expertise:

• Work experience: Prospective candidates should have relevant work experience in the position of data software engineer or a closely related field. This experience demonstrates the applicant's ability to apply their skills in real-world scenarios and contribute effectively to projects from day one.

• Technical skills: A strong practical and theoretical knowledge of several programming languages is essential. Common languages and technologies include SQL for database management, Python for data analysis and machine learning, and experience with big data technologies such as Hadoop, Spark, and Kafka. Familiarity with cloud services like AWS, Azure, or GCP is also highly valued, as many data engineering projects involve cloud-based solutions.

• Ability to write reports and maintain documentation: Beyond technical skills, the ability to document processes, write clear and concise reports, and maintain comprehensive documentation is crucial. This skill ensures that projects are transparent, replicable, and maintainable over time.

Additional skills and competencies

While the above qualifications form the core requirements for data software engineers at EPAM Anywhere, additional skills and competencies can enhance a candidate's application:

• Problem-solving abilities: The capacity to tackle complex data-related problems is highly valued.

• Team collaboration: Given the collaborative nature of projects at EPAM Anywhere, strong teamwork skills are essential. Candidates should be able to work effectively within diverse, global teams.

• Continuous learning: A commitment to continuous learning and staying up-to-date with the latest technologies and methodologies is crucial.

These general requirements are designed to identify candidates who are not only technically proficient but also capable of contributing to the innovative and dynamic environment at EPAM Anywhere. Each specific vacancy may have additional requirements or preferences, so candidates are encouraged to review job listings carefully and tailor their applications.

Role-specific requirements and skills for data software engineers at EPAM Anywhere

Here's a detailed look at the requirements and skills we value in candidates for our data engineering roles:

Technical skills

• Data modeling: The ability to design and implement effective data models is fundamental. This includes understanding normalization, dimensional modeling, and schema design principles to ensure data is stored efficiently and is accessible for analysis.

• ETL processes: Expertise in developing ETL (Extract, Transform, Load) processes is crucial. 

• Programming languages: Proficiency in Python is essential for our data engineering projects, given its widespread use in data manipulation, analysis, and machine learning applications. Knowledge of Java or Scala is also beneficial, especially for roles involving big data technologies.

• Big data technologies: Experience with big data frameworks such as Apache Spark, Hadoop, or Databricks is crucial. 

• Cloud platforms: Familiarity with cloud services like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. Understanding how to leverage these platforms for data storage, processing, and analytics can significantly enhance a project's scalability and flexibility.

• Database management: Strong understanding of SQL for relational databases and knowledge of NoSQL databases such as MongoDB or Cassandra. Ability to design, implement, and manage databases effectively is key.

• Data modeling and ETL processes: Skills in data modeling and the ability to develop ETL (Extract, Transform, Load) processes that ensure data quality and accessibility.

Soft skills

• Teamwork: Ability to work effectively within diverse, global teams is crucial. EPAM Anywhere projects often involve collaboration across different geographies and disciplines, requiring open communication and mutual respect.

• Problem-solving abilities: The best data software engineers are those who can think critically and creatively to solve complex data-related problems. 

• Adaptability: The technology landscape is constantly evolving, especially in the field of data engineering. A willingness to learn new technologies, adapt to changing project requirements, and embrace new challenges is essential for success.

Responsibilities and duties of data software engineers at EPAM Anywhere

At EPAM Anywhere, data software engineers play a crucial role in driving the success of our data-driven projects. Their responsibilities and duties are diverse, spanning the development, maintenance, and optimization of data systems and solutions. Here's an overview of the core responsibilities across different roles, as well as some project-specific duties for each vacancy.

Core responsibilities across different roles:

• Designing, building, and maintaining data systems: Data software engineers are responsible for designing robust data processing systems. This involves building scalable infrastructure to collect, store, process, and analyze large datasets efficiently.

• Ensuring data quality and accessibility: Ensuring that data is accurate, available, and secure is a key responsibility. This includes implementing data validation processes, maintaining data pipelines, and ensuring compliance with data privacy and security regulations.

• Optimizing data flow and collection: Engineers work on optimizing the data architecture to improve the efficiency of data flow and accessibility. This involves assessing and improving data collection strategies, storage solutions, and processing techniques.

• Collaborating with cross-functional teams: Data software engineers often collaborate with other engineers, business analysts, and stakeholders to understand data needs and deliver solutions that support business objectives.

• Continuous improvement and innovation: Staying abreast of the latest technologies and methodologies in data engineering to continually improve and innovate EPAM Anywhere's data processes and solutions.

Project-specific duties for each vacancy:

• Big data projects: For roles focused on big data, duties may include developing and managing big data solutions that can handle real-time big data processing. Engineers would need to work with technologies like Hadoop, Spark, and Kafka.

• Cloud-based data solutions: For vacancies centered around cloud platforms, responsibilities might involve designing and deploying scalable data storage and processing solutions on cloud platforms such as AWS, Azure, or GCP.

• Machine learning and data analytics projects: In roles where the focus is on machine learning or data analytics, duties could include preprocessing data, developing and deploying machine learning models, and providing insights through data analysis and visualization techniques.

• Data integration and ETL processes: Engineers may also be responsible for developing ETL processes to integrate data from various sources, ensuring data is transformed and stored in a manner that supports efficient analysis and reporting.

Skills and competencies:

To fulfill these responsibilities, data software engineers at EPAM Anywhere need a combination of technical and soft skills. Technical expertise in programming languages (Python, Java, Scala), big data technologies, cloud services, and database management is crucial. Equally important are soft skills such as problem-solving abilities, effective communication, teamwork, and a continuous learning mindset.

EPAM Anywhere's data software engineers are at the heart of our mission to deliver innovative and effective data solutions to our clients. Their diverse roles and responsibilities reflect the dynamic and challenging nature of data engineering, offering opportunities for growth, learning, and significant contributions to a variety of projects.

Technical skills and competencies for data software engineers at EPAM Anywhere

At EPAM Anywhere, data software engineers are at the forefront of technological innovation, tasked with developing sophisticated data solutions that drive decision-making and strategic initiatives for global clients. This role demands a unique blend of technical skills and competencies, ranging from data modeling and ETL processes to proficiency with various programming languages, tools, and frameworks. Here's an in-depth look at the essential technical skills and preferred software tools and technologies for data software engineers at EPAM Anywhere.

How to apply for data software engineer positions at EPAM Anywhere

Applying for a position as a data software engineer at EPAM Anywhere involves a straightforward yet comprehensive process, designed to find the best match between your skills and the needs of the company. Here is a step-by-step guide to navigating the application process:

Step 1: Find the right position

Visit the EPAM Anywhere Jobs page to explore the current data software engineer vacancies. Use the search and filter options to find roles that match your skills, experience, and career interests.

Step 2: Prepare your application

Tailor your resume to highlight relevant experience and skills for the role you are applying for. Be sure to include specific projects you have worked on and the technologies you used.

Step 3: Submit your application

Once you have found a suitable position and prepared your application, submit your resume and cover letter through the EPAM Anywhere online application system. Ensure that all required fields are completed and that your contact information is accurate.

Step 4: Application review

If your skills and experience match the role's requirements, a recruiter may contact you for further discussion and to schedule interviews.

Step 5: Interview process

The interview process typically involves several stages, including technical assessments and interviews. This is your opportunity to showcase your skills, learn more about the role, and understand EPAM Anywhere's culture.

Step 6: Offer and onboarding

If selected, you will receive an offer detailing the terms of employment. Upon acceptance, you will go through the onboarding process, where you'll learn more about EPAM Anywhere and prepare for your new role.

Tips for preparing your application and resume:

• Customize your resume

• Showcase your projects

• Highlight your achievements

• Add professional summary

• Outline education and certifications

• Showcase soft skills

Good luck with your application!