Senior Data Engineer - Distributed Systems & Cloud Native Architecture

Description :

Skillset Required :

- 5+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.

- Experience with various stages of software development, including design, development, testing, and deployment.

- Strong programming skills in Python, Java, C++, SQL etc.

- Deep expertise with cloud platforms like AWS, Azure, or GCP.

- Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.

- Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.

- Proven ability to deliver high-impact, API-first services at scale.

- Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.

- Strong problem-solving and analytical thinking skills.

- Experience in guiding and supporting junior engineers.

- Excellent communication and collaboration skills.

What Youll Do :

- Design, develop, and maintain scalable data platforms and services.

- Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.

- Collaborate with cross-functional teams including product managers, and other engineers to deliver high-impact solutions.

- Implement best practices in software development, data governance, and platform observability.

- Participate in code reviews, provide feedback, and mentor junior engineers