Sr. Data Engineer & API Developer

Position Overview

We are seeking a highly skilled Senior Staff Data Engineer & API Developer to play a critical role in designing and delivering next-generation data and API solutions on the Google Cloud Platform (Google Cloud Platform). This individual will act as a key technical contributor, responsible for building scalable data systems, developing robust APIs, and enabling enterprise-wide data accessibility. This role requires a proactive professional who thrives in a fast-paced, collaborative environment. You will work closely with cross-functional teams including data engineers, architects, scientists, and business stakeholders to translate complex requirements into scalable, high-performance solutions. A strong sense of ownership, problem-solving ability, and adaptability to evolving technologies is essential.

Key Responsibilities:

Data Engineering & Platform Development

• Design, develop, and maintain scalable data pipelines and platforms supporting structured, semi-structured, and unstructured data.
• Build and optimize Google Cloud Platform-based data ecosystems for enterprise analytics and reporting.
• Implement automated workflows to reduce manual effort and improve operational efficiency.
• Ensure timely and reliable data delivery by defining and maintaining SLAs.
• Enable self-service data capabilities including dashboards, data catalogs, and exploratory tools.

API Development & Integration

• Design and build high-performance APIs to accelerate data access and insights.
• Follow API design standards and best practices to ensure consistency, scalability, and security.
• Develop modular, reusable, and well-documented code.
• Leverage tools like Apigee and frameworks such as FastAPI for API lifecycle management.

Cloud & Technology Implementation

• Develop and deploy solutions using Google Cloud Platform services such as Cloud Run, GKE, Cloud Functions, BigQuery, Bigtable, Cloud SQL, and Cloud Spanner.
• Implement CI/CD pipelines, logging, and monitoring using modern DevOps practices.
• Integrate AI/ML solutions using tools like Vertex AI and NLP where applicable.

Collaboration & Leadership

• Work in a matrixed team environment, contributing to shared project goals.
• Mentor junior engineers and promote knowledge sharing within the team.
• Lead technical discussions, solution design sessions, and data architecture initiatives.
• Foster a culture of collaboration, innovation, and continuous improvement.

Quality, Security & Best Practices

• Implement unit, integration, and performance testing strategies.
• Promote secure coding practices aligned with industry regulations and standards.
• Continuously improve data platform performance, scalability, and reliability.
• Advocate for Agile methodologies and participate actively in Agile ceremonies.

Innovation & Continuous Learning

• Stay current with emerging cloud technologies and industry trends.
• Contribute to the broader data engineering community through knowledge sharing and thought leadership.
• Encourage experimentation and adoption of modern tools and practices.

Required Qualifications:

• Experience 10+ years of overall IT experience
• 5+ years in Data Engineering
• 3+ years in API development
• Proven experience delivering solutions in fast-paced, cross-functional environments

Technical Expertise

• Google Cloud Platform & Cloud Technologies (2+ years) Cloud Run, GKE, Cloud Functions
• BigQuery, Bigtable, Cloud SQL, Cloud Spanner
• CI/CD pipelines, Cloud Logging
• Tools such as Postman, Dynatrace
• Exposure to Vertex AI and NLP

Development & Data Technologies

• API development and management (Apigee preferred)
• Python (FastAPI), Java, or Scala
• Streaming technologies (Kafka, Spark Streaming)
• Data formats: JSON, Avro, Parquet
• Strong SQL and data warehousing knowledge

Tools & Practices

• Git/GitHub for version control
• CI/CD automation tools
• Agile development methodologies

For applications and inquiries, contact: hirings@openkyber.com