EPAM Systems
Lead Data Software Engineer (Python, AWS, Databricks)
- Compensation
- Not disclosed
- Location
- Mexico
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of experience in data engineering or software engineering roles, including at least 1 year in a lead capacity
- Proficiency in Python for data processing and automation
- Expertise in Amazon Web Services
- Skills in Databricks for large-scale data processing and analytics
- Background in designing and maintaining scalable data pipelines and ETL workflows
- Understanding of data modeling, warehousing concepts, and performance optimization
- Capability to lead technical teams and mentor junior engineers
- Strong communication and collaboration skills for working effectively across cross-functional teams
- Proficiency in English (both written and spoken) at a minimum of B2 level
Full description
We are looking for a seasoned Lead Data Software Engineer to spearhead the design, development, and optimization of scalable data solutions. In this position, you will guide a skilled team of engineers, architect resilient data pipelines, and partner with cross-functional stakeholders to deliver impactful data products that advance business goals.
Responsibilities
- Lead the design, development, and deployment of scalable data engineering solutions
- Architect and implement efficient data pipelines and ETL processes
- Mentor and guide a team of data engineers, fostering best practices and technical growth
- Collaborate with data scientists, analysts, and business stakeholders to capture data requirements
- Ensure data quality, integrity, and governance across all engineering initiatives
- Optimize performance, reliability, and cost-efficiency of cloud-based data platforms
- Drive code reviews, technical documentation, and engineering standards
- Troubleshoot complex data issues and deliver timely resolutions
- Keep current with emerging data technologies and recommend improvements
- Partner with leadership to shape the data engineering roadmap and strategy
Requirements
- 5+ years of experience in data engineering or software engineering roles, including at least 1 year in a lead capacity
- Proficiency in Python for data processing and automation
- Expertise in Amazon Web Services
- Skills in Databricks for large-scale data processing and analytics
- Background in designing and maintaining scalable data pipelines and ETL workflows
- Understanding of data modeling, warehousing concepts, and performance optimization
- Capability to lead technical teams and mentor junior engineers
- Strong communication and collaboration skills for working effectively across cross-functional teams
- Proficiency in English (both written and spoken) at a minimum of B2 level
Benefits
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)