Job Description

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: IC3


Career Level - IC3



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.