Job Description
HCLTech is hiring a GCP Senior Data Engineer to design scalable data ecosystems, develop high-performance data pipelines, and optimize enterprise data architectures. The role involves GCP service integration, data governance, data security, monitoring, and performance tuning. The position includes working alongside other professionals, mentoring, and improving cloud-based data systems.
Qualification: Bachelor’s or master’s degree in computer science.
Experience: 5–6+ years
Apply: Click Here
Responsibilities
- Construct data pipelines that can scale up for batch and real-time processing requirements.
- Architect the data itself as well as its pipeline for effective data ingestion and transformation.
- The strengths of Google Cloud Platform, which include Dataflow, BigQuery, Pub/Sub, Cloud Storage, and Cloud SQL.
- Improve upon the storage, querying, scalability, reliability, monitoring, and performance of Google Cloud Platform.
- Work with stakeholders and offer recommendations from the technical perspective.
Requirements
- A bachelor’s or master’s degree in computer science or information technology or any other related discipline.
- 5-6+ years’ experience in data engineering, with solid expertise in GCP.
- Proficient at handling Dataflow, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL, and Firestore.
- Extremely proficient at programming with Python, SQL, ETL/ELT, data warehousing, and data modelling.
- Excellent communication and management skills of stakeholders.
Preferred Qualifications
- Google Cloud Professional Certifications, Data Engineer & Cloud Architect
- Expertise in big data technology like Hadoop & Spark
- Experience in machine learning/AI pipelines through data analytics platforms.
- Experience in DevOps processes, CI/CD pipeline, automation and deployment process.
- Experience of being a technical leader and mentor for engineers.