Back to SearchLead Data Software Engineer
Remote in India
Data Software Engineering
& 8 others
Sorry, this position is no longer available
India
We are in search of a Lead Data Software Engineer to join our team. If you possess exceptional skills in Python and AWS, along with a passion for leading and mentoring, we invite you to apply and play a pivotal role in supporting Data Science teams and driving innovative data solutions.
Responsibilities
- Lead and provide hands-on support to Data Science teams, including addressing incoming support tickets and offering guidance and mentorship, while fostering a collaborative and growth-focused environment
- Take ownership of table-building processes and minimal ticket interactions, while supporting existing FTE team members in mentorship endeavors
- Architect and construct datamarts with distinct data models designed for analytics purposes, working in agile sprints
- Collaborate closely with Data Scientists to understand and implement their requirements by the end of each quarter, catering to ad-hoc requests and offering on-call support as needed
- Contribute to the development of ingestion pipelines, ensuring efficient data processing and management.
- Display a commitment to generating comprehensive documentation that aids users in effectively utilizing provided information
- Embrace a team-oriented approach, working seamlessly with colleagues to achieve common goals while promoting an inclusive and collaborative environment
- Demonstrate strong communication and documentation skills while effectively functioning as a part of the customer's team
- Actively seek and receive constructive feedback, displaying a proactive attitude toward continuous learning and adaptability to new technologies
Requirements
- A minimum of 5 years of relevant experience in the field of Data Software Engineering, showcasing your expertise in data solution development
- At least 1 year of direct leadership and team management experience, highlighting your ability to inspire and guide a technical team
- Proficiency in Python, utilizing its capabilities to construct efficient and robust data pipelines
- Strong familiarity with AWS, leveraging cloud resources to optimize data processing and storage
- Experience with Apache Airflow, contributing to the automation and orchestration of data workflows
- Proficiency in Apache Spark, enabling you to work with large-scale data processing and analysis
- Thorough understanding of ETL processes, ensuring accurate and consistent data management
- Knowledge of CI/CD practices, promoting efficient and reliable software development
- Proficiency in SQL, enabling you to query and manipulate data effectively
- Experience with REST API, enhancing your ability to create and manage data interfaces
- Fluent English communication skills at a B2+ level, facilitating effective collaboration and communication
Nice to have
- Familiarity with DataBricks and Spark, further enhancing your ability to handle extensive data processing and analysis
- Experience with Redshift, contributing to optimized data warehousing solutions
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