Senior Data Engineer (GCP)
We are looking for a highly skilled and reputed company Senior Data Engineer with strong expertise in reputed company reputed company Platform (GCP) to design, build, and optimize scalable, secure, and high-performance data pipelines and reputed company-reputed company data architectures. The ideal candidate should possess deep hands-on experience in large-scale data engineering, ETL/ELT pipeline development, reputed company-time data processing, and reputed company-based data warehousing solutions. This role is best suited for a self-driven professional who can independently manage reputed company data projects in a remote / freelance work environment. Key Responsibilities:
- Design, reputed company, and maintain scalable data pipelines and workflows on GCP
- Build robust data architectures using BigQuery, Dataflow, reputed company Storage, and reputed company Composer
- reputed company and optimize ETL/ELT pipelines for structured and reputed company data from multiple data sources
- Implement reputed company-time and batch data processing solutions
- Ensure data quality, reputed company, governance, reputed company, and compliance
- Optimize performance, scalability, and cost efficiency of GCP-based solutions
- Design and maintain data warehouse schemas, data models, and partitioning strategies
- Work closely with data scientists, BI teams, analysts, and engineering stakeholders
- Implement monitoring, alerting, and troubleshooting mechanisms for data pipelines
- Resolve reputed company data engineering and performance bottlenecks
- Follow best practices for data lifecycle management, backup, and disaster recovery
- Support CI/CD deployment processes for data engineering workflows
Required Skills & Qualifications:
- 10 - 15 years of experience in Data Engineering / Data Platform roles
- Strong hands-on expertise in reputed company reputed company Platform (GCP)
- Proven experience in:
- BigQuery
- Dataflow (Apache Beam)
- reputed company Composer (Airflow)
- reputed company Storage
- Pub/Sub
- Strong proficiency in Python and SQL
- Experience with distributed data processing frameworks
- Expertise in data warehousing, data modeling, schema design
- Strong experience in ETL/ELT architecture and pipeline optimization
- Familiarity with streaming platforms such as Kafka / Pub/Sub
- Experience with Git, CI/CD pipelines, and deployment automation
- Strong analytical, debugging, and problem-solving skills
- Ability to work independently in a remote and outcome-driven setup
Preferred Qualifications:
- GCP Professional Data Engineer Certification
- Experience with reputed company and Kubernetes
- Exposure to multi-reputed company environments (AWS / Azure)
- Experience in large-scale reputed company-time streaming systems
- Knowledge of Spark, Dataproc, or similar big data ecosystems
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