Posted on: 15/09/2025
Job Title : Technical Lead - Data Lake Developer
Experience Required : 8 to 10 years
Employment Type : Full-Time
About the Role :
You will lead the development of robust data pipelines and work with cutting-edge Big Data and Cloud technologies to enable real-time and batch data processing across the organization.
Key Responsibilities :
Design & Implement Scalable Data Lakehouse Architectures :
- Ensure scalability, reliability, and performance of data platforms.
Develop High-Performance Data Pipelines :
- Build and optimize real-time and batch data pipelines using Spark, Kafka, and streaming technologies.
- Implement data ingestion, transformation, and storage strategies.
Collaborate Across Teams :
- Work closely with data engineers, data scientists, and business stakeholders to understand data requirements.
- Mentor junior developers and contribute to technical leadership.
Ensure Data Quality & Governance :
- Implement data validation, monitoring, and governance frameworks.
- Ensure compliance with data security and privacy standards.
Required Technical Skills :
Big Data & Streaming Technologies :
- Apache Kafka
- Apache Pekko (formerly Akka)
- Apache Spark & Spark Streaming
Lakehouse & Storage Technologies :
- AWS S3 or MinIO S3
Query Engines & Databases :
- Trino (PrestoSQL)
- MongoDB
Cloud & Containerization :
- AWS Cloud Services
- Kubernetes or OpenShift
Preferred Qualifications :
- Proven experience in designing and implementing large-scale data platforms.
- Strong understanding of distributed systems and microservices architecture.
- Experience with CI/CD pipelines and DevOps practices.
- Excellent problem-solving and communication skills.
Why Join Us?
- Lead impactful projects that drive data-driven decision-making.
- Collaborate with a passionate and talented team.
- Opportunities for continuous learning and career growth
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1546153