Data Engineer

Role Overview: We are seeking a highly skilled Data Engineer - GCP with 6–8 years of experience in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP). The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration, with proven expertise in delivering scalable, secure, and efficient data platforms. Key Responsibilities: - Design and architect end-to-end data solutions on GCP, aligning with business and technical requirements. - Define data models, storage strategies, data ingestion, processing, and consumption frameworks. - Implement data lakes, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer. - Collaborate with business stakeholders, data scientists, and engineering teams to understand data needs and translate them into scalable architectures. - Design and implement data governance, security, and compliance frameworks for cloud-based data platforms. - Optimize data workflows, query performance, and storage costs in the GCP environment. - Lead data migration and modernization initiatives from on-premise or other cloud platforms to GCP. - Stay updated with GCP services, features, and industry best practices to recommend improvements and innovation. - Provide technical leadership and mentoring to data engineering teams. Required Skills and Qualification: - Educational Background: - Bachelor’s degree in Computer Science, Software Engineering, or a related field. - Experience: - 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on GCP. - Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog. - Proficient in data modeling, data warehousing concepts, ETL/ELT pipelines, and big data processing frameworks. - Experience with SQL, Python, and Terraform (preferred) for infrastructure as code. - Hands-on experience in data security, encryption, access control, and governance on GCP. - Experience in integrating with real-time data pipelines and event-driven architectures. - Strong understanding of DevOps, CI/CD pipelines for data workflows, and cloud cost optimization. - GCP Professional Data Engineer / Cloud Architect certification is a plus. - Soft Skills: - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and within a team in an Agile/Scrum environment. Traits we are looking for: - Curiosity-driven: Passionate about exploring new tools, technologies, and methods to solve problems creatively. - Problem-Solver: Thrives on identifying and fixing complex issues, with a natural inclination for troubleshooting. - Self-starter: Takes initiative, requires minimal supervision, and demonstrates ownership of tasks from start to finish. - Innovative Mindset: Enjoys experimenting with different approaches and is not afraid to break things to learn. - Continuous Learner: Actively seeks to expand their knowledge through reading, online courses, and experimenting with side projects. - Adaptability: Quick to adjust to new technologies, tools, or changes in requirements. - Detail-Oriented: Pays attention to both the big picture and the small details, ensuring quality in execution. Good To Have: - Exposure to AI/ML workflows, data preparation for ML models. - Experience with third-party tools like Apache Airflow, Looker, or Dataplex. - Knowledge of other cloud platforms (AWS, Azure) for hybrid/multi-cloud strategies. What We Offer: - Competitive salary and benefits package. - Opportunity to work on cutting-edge security challenges. - A collaborative and growth-oriented work environment with opportunities for career development.