GCP Data Engineer

Overall Exp-5+
Location-Pan India
Job Requirements*
- Proficiency in programming languages: Python, Java
- Expertise in data processing frameworks: Apache Beam (Data Flow)
- Active experience on GCP tools and technologies like Big Query, Dataflow, Cloud Composer, Cloud Spanner, GCS, DBT etc.,
- Data Engineering skillset using Python, SQL
- Experience in ETL (Extract, Transform, Load) processes
- Knowledge of DevOps tools like Jenkins, GitHub, Terraform is desirable. Should have good knowledge on Kafka (Batch/ streaming)
- Understanding of Data models and experience in performing ETL design and build, database replication using Message based CDC
- Familiarity with cloud storage solutions
- Strong problem-solving abilities in data engineering challenges
- Understanding of data security and scalability
- Proficiency in relevant tools like Apache Airflow
Core Skills:
GCP Services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Data Catalog, Data Fusion, AI Platform.
Programming: SQL, Python, Java/Scala (for Dataflow/Spark).
Data Concepts: Data Warehousing, ETL, Data Modeling, Streaming.
Tools: Apache Beam, Docker, Kubernetes, Git, Terraform.
Key Responsibilities*
Design & Build Data Pipelines: Develop scalable data ingestion, transformation (ETL/ELT), and orchestration workflows using GCP services.
GCP Service Utilization: Implement solutions with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Composer.
Data Integration: Connect and manage data from diverse sources (APIs, databases, files).
Optimization: Improve performance, cost-efficiency, and reliability of data processes.
Collaboration: Work with data scientists, analysts, and architects to meet data needs.
Quality & Security: Ensure data integrity, security, and compliance.
Automation: Implement CI/CD and Infrastructure as Code (IaC) using tools like Terraform.
Monitoring & Support: Maintain, monitor, and troubleshoot data workloads and systems.

Work arrangement
No