Role: Lead Data Engineer
Location: Bangalore
Start: Immediate to 30 days’ notice
Skills & Description:
Lead Data Engineer, 7 + Years
Skillset Required (skills in bold & underlined are mandatory):
- 7+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
- Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.
- Strong programming skills in Python, Java, C++, SQL etc.
- Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.
- Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
- Strong understanding of advanced data modeling techniques and modern data warehouses.
- Ability to design scalable, fault-tolerant, and maintainable distributed systems.
- Excellent communication and stakeholder management skills.
What You’ll Do:
- Design, build, deploy, and own complete, scalable, and reliable data platforms and solutions.
- Lead the technical design of new data pipelines, services, and systems.
- Build reusable frameworks, libraries, and data management tools to improve productivity.
- Optimize performance and cost-efficiency of data workflows and compute layers.
- Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
- Provide technical leadership and mentorship to junior engineers.
Job Type: Full-time
Pay: ₹2,500,000.00 - ₹2,800,000.00 per year
Application Question(s):
- Having minimum 7 years to 14 years of experience is necessary..
Experience:
- AWS: 2 years (Preferred)
- Python: 3 years (Preferred)
- Data Engineer: 6 years (Preferred)
Work Location: In person