MS or BS in Computer Science or Equivalent

4-6+ years of relevant experience

Key Responsibilities:

Software Engineering & API Development

Design and build scalable, fault-tolerant systems using strong coding skills in Java, Python, or Scala. Develop robust RESTful APIs and work with GraphQL for flexible data querying. Architect and implement microservices that handle critical data management tasks.

Data Architecture & Design

Expertise in database design and management for relational (SQL) and non-relational (NoSQL) systems like Oracle, MongoDB, and DynamoDB. Build efficient data models and implement data access controls, including role-based access control (RBAC) and encryption. Manage metadata, data lineage, and cataloging with tools like Apache Atlas or DataHub.

Data Pipeline & Orchestration

Design and manage ETL/ELT pipelines using orchestration tools like Airflow or Dagster. Work with distributed systems (Hadoop, Spark) and real-time data frameworks (Kafka, Pulsar). Leverage cloud platforms (AWS, GCP, Azure) for data storage, processing, and analytics.

Leadership & Collaboration

Mentor junior engineers and lead the development of robust, scalable systems. Collaborate with data scientists, analysts, and cross-functional teams to meet platform goals. Communicate technical decisions effectively to both technical and non-technical stakeholders. Qualifications: Strong grasp of data structures and algorithms for designing efficient solutions. Hands-on experience in system design, scalable architecture, and performance optimization. Deep understanding of modern data engineering practices and tools.

This role offers the opportunity to work on complex, data-driven challenges and make an impact in building reliable and innovative systems. If you thrive in a collaborative, fast-paced environment, we encourage you to apply.

Career Level - IC4