Senior Data Engineer

Job not on LinkedIn

2 days ago

Apply Now

Receive Emails with Similar Jobs

Native

WebsiteLinkedInAll Job Openings

Recruitment • B2B

Native is an executive search and talent advisory firm that helps organizations and boards recruit senior leadership, independent directors, and specialist talent across sectors such as industrials, financial services, pharma & life sciences, and consumer and technology industries. Combining data-driven research with deep sector expertise, Native focuses on talent migration, GCC and India board appointments, and critical-to-business hires from its offices in Dubai, Mumbai, Gurgaon and Bangalore. The firm serves corporate clients with a B2B focus, offering bespoke search, market intelligence and advisory services.

51 - 200 employees

Founded 2006

🎯 Recruiter

🤝 B2B

📋 Description

• Design, build, and maintain scalable ETL pipelines and DAG-orchestrated workflows using GCP-native tools (e.g. Cloud Composer/Airflow, Dataflow, BigQuery) to support both operational and analytical needs • Develop and evolve data models and schemas that enable clean, reliable, and well-structured downstream consumption • Partner with analytics, product, and engineering teams to understand data requirements and deliver accessible, high-quality datasets • Own the end-to-end lifecycle of data workflows, including deployment, monitoring, alerting, and troubleshooting in production environments • Ensure data quality, consistency, and integrity through validation frameworks, monitoring, and adherence to engineering best practices (testing, version control, documentation) • Optimize data processing for performance, scalability, and cost efficiency across GCP services • Contribute to the evolution of the data platform architecture to ensure maintainability, scalability, and long-term reliability • Stay current with emerging technologies and best practices in data engineering, workflow orchestration, and cloud data platforms

🎯 Requirements

• 5+ years of experience in data engineering or similar roles • Strong proficiency in SQL and Python • Hands-on experience with GCP data infrastructure (BigQuery, Cloud Composer/Airflow, Dataflow, Cloud Storage, Pub/Sub) • Experience designing and orchestrating DAG-based ETL/ELT pipelines • Solid understanding of data modeling and data warehousing concepts • Experience designing and optimizing data movement across GCP services (e.g., BigQuery ⇄ GCS, Pub/Sub pipelines, Dataflow transformations) • Experience deploying, monitoring, and troubleshooting production data pipelines • Familiarity with CI/CD, testing, and version control best practices in data ecosystems • Ability to partner cross-functionally with analytics, product, and engineering teams

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development