Back to SearchLead Data Software Engineer
Remote in India
Data Software Engineering
& 6 others
Sorry, this position is no longer available
India
We are seeking a highly skilled Lead Data Software Engineer to join our remote team and provide critical support to our Data Science teams.
As a key figure within the team, you will be responsible for building datamarts, developing REST APIs, and providing on-call support for ad-hoc requests. You will play a pivotal role in driving the success of our projects, which focus on delivering industry-leading solutions for our clients in the healthcare sector.
Responsibilities
- Lead and mentor the Data Software Engineering team, fostering a culture of growth and continuous learning within the group
- Collaborate with cross-functional teams to deliver high-quality software solutions in line with project goals and timelines
- Build and maintain datamarts, ensuring efficient and scalable data management
- Develop REST APIs, enabling seamless integration with other applications and systems
- Provide on-call support for ad-hoc requests, ensuring the efficient resolution of issues
- Design and implement data pipelines using Apache Airflow and Apache Spark
- Work closely with Data Science teams, providing technical support and guidance
- Ensure the implementation and maintenance of CI/CD pipelines for efficient delivery of application releases
- Continuously evaluate industry trends and best practices to refine and implement the most effective software engineering strategies
- Collaborate with stakeholders, demonstrating excellent communication and leadership skills
Requirements
- Minimum of 5 years of experience in Data Software Engineering, working with complex infrastructures and large-scale projects
- At least 1 years of demonstrated leadership experience, managing and guiding a team of Data Software Engineers
- Expertise in Amazon Web Services, designing and implementing scalable solutions in the cloud environment
- Strong experience in Apache Airflow and Apache Spark for building and scheduling data pipelines
- Proficiency in Python and SQL for ETL and data manipulation tasks
- Experience with CI/CD pipelines for efficient delivery of application releases
- Excellent analytical and problem-solving skills, enabling effective decision-making in complex environments
- Strong English language proficiency at the Upper-Intermediate level, enabling clear communication and collaboration with the team and stakeholders
Nice to have
- Experience with Redshift and Databricks for data processing and analysis
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn