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.