This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Lead - Data Engineer I
in
India
.This role offers a hands-on technical leadership opportunity for an experienced data engineer to design, develop, and optimize scalable data platforms and pipelines. You will work on modern cloud-native architectures, building reliable APIs and microservices that power data-driven products. The role involves collaborating closely with product, engineering, and architecture teams while mentoring junior engineers. You will be responsible for ensuring high standards in software craftsmanship, observability, and maintainability, making a direct impact on the performance and scalability of the organization's data infrastructure.
Accountabilities
- Architect, design, and implement scalable data pipelines, APIs, and microservices for efficient data access and analytics
- Develop modular, testable, and maintainable services to process large volumes of structured and semi-structured data
- Design and maintain data models, schemas, and storage solutions aligned with data lake and warehouse best practices
- Implement robust CI/CD pipelines and enforce SDLC best practices including automated testing and code reviews
- Utilize AWS services (Glue, Athena, Kinesis, Lambda, IoT Core, S3) to build secure, scalable infrastructure
- Ensure observability through logging, monitoring, and tracing of pipelines and services
- Collaborate with cross-functional teams, including product managers, engineers, and data scientists, to deliver high-quality solutions
- Mentor and guide junior engineers, promoting clean architecture and software engineering best practices
Requirements
- 6-9 years of experience in data engineering or backend software development, including 1-2 years in a leadership or architectural role
- Proficiency in Python and JavaScript
- Hands-on experience with Snowflake, Airbyte, and Airflow
- Strong knowledge of software engineering practices, microservices architecture, design patterns, RESTful APIs, and CI/CD pipelines
- Solid experience with SQL, data modeling, and managing large-scale data
- Deep experience with AWS data services: Glue, Athena, Kinesis, IoT Core, Lambda, S3, and CloudWatch
- Experience with containerized applications using Docker and Kubernetes orchestration
- Strong analytical and architectural problem-solving skills
- Excellent collaboration, communication, and mentoring capabilities
- Preferred: experience with event-driven architectures, streaming data, DevOps practices, cloud-native deployments, and data security/compliance (e.g., GDPR, HIPAA)
Benefits
- Competitive in-market total rewards package, including base salary and short-term incentives
- Remote-first work environment with flexibility to work from home, and optional client-facing onsite work
- Retirement planning options such as CPF, EPF, or company-matched 401(k)
- Comprehensive benefits package including medical, dental, and vision plans, mental health resources, and wellness programs
- Generous time off and leave allowances
- Opportunities for professional and personal growth in a collaborative, innovative environment
- Inclusive and diverse culture with equal opportunity for all employees
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps (such as interviews or additional assessments) are made by their internal hiring team.Thank you for your interest!
