Job Description
Role Overview: We are seeking a highly experienced Senior Data Engineer with over 15 years of expertise in designing, building, and managing scalable data solutions. The ideal candidate will have extensive hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and a strong background in data pipelines, ETL/ELT processes, and data architecture.This role requires a strategic thinker who can lead complex data engineering projects, mentor junior team members, and collaborate with cross-functional teams to deliver high-quality data solutions.
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nKey Responsibilities:
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- Design, develop, and maintain scalable and productive data pipelines and ETL/ELT workflows using GCP services.n
- Architect and implement data warehouse solutions using BigQuery, ensuring optimal performance and cost efficiency.n
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights.n
- Optimize and manage large-scale datasets, ensuring data quality, integrity, and security.n




- Develop and enforce best practices for data governance, data modeling, and data lifecycle management.n
- Implement streaming data solutions using tools like Dataflow, Pub/Sub, and Apache Beam.n
- Monitor and troubleshoot data pipelines, ensuring high availability and reliability.n
- Lead the migration of on-premise data systems to GCP, ensuring seamless integration and minimal downtime.n
- Mentor and guide junior engineers, fostering a culture of continuous learning and innovation.n
- Stay updated with the latest advancements in GCP and data engineering technologies, and recommend improvements to existing systems.n

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nRequirements
nWhat we are looking for:
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- 15+ years of experience in data engineering, with a focus on cloud-based solutions.n
- Expertise in GCP services, including but not limited to:BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud

📌 Data Engineer Lead (Hyderabad)
🏢 Nexus
📍 Hyderabad