Please note that we will be communicating with you using the email address associated with your LinkedIn application. It is important that you check this email regularly for updates on your application status.
Are you a tech professional looking for remote work in a global setting If yes, this job is for you.
We are looking for the candidates with 4+ years of relevant experience.
Welcome to EPAM Anywhere - a global job platform offering remote work opportunities in the technology sector. Join us to build a career around your lifestyle working on modern projects for global brands and exciting start-ups.
We are seeking a remote
Senior Data Software Engineer to join our team and help build our Enterprise Data Platform and Data Products. This role offers the opportunity to work with cutting-edge technologies and make a significant impact on the company's data strategy. The ideal candidate will have extensive experience in building data platforms and implementing high-performance big data solutions. They should also possess strong development skills, along with knowledge of Azure and Databricks.
Responsibilities
- Designing and developing enterprise data platforms and data products
- Collaborating with cross-functional teams to understand business requirements and design data solutions that meet those needs
- Implementing high-performance big data solutions using Databricks and Microsoft Azure technologies
- Working with event-driven architecture to build scalable and reliable data pipelines
- Developing and maintaining data processing pipelines and workflows
- Ensuring data quality and integrity throughout the data lifecycle
- Troubleshooting and resolving issues related to data processing and storage
- Developing and maintaining documentation related to data platforms and data products
- Staying up-to-date with the latest trends and technologies in data engineering and big data
- Providing technical guidance and mentorship to junior team members
Requirements
- Minimum of 3 years of experience in data software engineering
- Experience building data platforms at large companies
- Proven experience in implementing high-performance big data solutions
- Expertise in Databricks and Microsoft Azure technologies
- Strong development skills, including Python
- Experience with event-driven architecture
- Excellent problem-solving and analytical skills
- Ability to work collaboratively with cross-functional teams
- Excellent communication skills in English, both written and verbal (B2+ level)
Nice to have
- Experience with machine learning and data science technologies
- Familiarity with data governance and regulatory compliance
- Experience with other big data technologies, such as Hadoop or Spark
We offer
- Insurance Coverage
- Paid Leaves including maternity, bereavement, paternity, and special COVID-19 leaves.
- Financial assistance for medical crisis
- Retiral Benefits VPF and NPS
- Customized Mindfulness and Wellness programs
- EPAM Hobby Clubs
- Hybrid Work Model
- Soft loans to set up workspace at home
- Stable workload
- Relocation opportunities with EPAM without Borders program
- Certification trainings for technical and soft skills
- Access to unlimited LinkedIn Learning platform
- Access to internal learning programs set up by world class trainers
- Community networking and idea creation platforms
- Mentorship programs
- Self-driven career progression tool
This is a remote position and we welcome applications from anywhere in India.
Once you apply, you'll receive a confirmation email with a link to EPAM Anywhere platform. Sign up with this link to automate your pre-screening, be able to monitor your application statuses, and enjoy a faster job application process.
We accept CVs in English only.
Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere.
EPAM Anywhere is a part of EPAM Systems, Inc. (NYSE: EPAM). Since 1993, EPAM has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider.
