Description :

Immediate Joiners or less than 30 days notice period.

We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data platforms, pipelines, and cloud-based solutions supporting analytics, machine learning, and business intelligence.

Data Engineering & Architecture :

- Design scalable data pipelines and data models.

- Build and maintain data warehouses, lakes, and lakehouses.

- Optimize data platforms for performance and reliability.

- Develop analytical tools and automation.

Cloud & Platform Engineering :

- Hands-on with GCP services including BigQuery, Dataflow, Dataproc, Data Fusion and Cloud SQL.

- Implement Infrastructure as Code using Terraform.

- Use Apache Airflow and Tekton for orchestration and CI/CD.

Data Processing & Integration :

- Develop solutions using Python, PySpark, Kafka and Pub/Sub.

- Build APIs and integrate enterprise data sources.

- Automate workflows and optimize processing.

Leadership & Collaboration :

- Work with business and technology stakeholders.

- Lead projects and mentor junior engineers.

- Drive continuous improvement and innovation.

Mandatory Skills :

- 7+ years of Data Engineering experience.

- Strong GCP expertise.

- Experience with Terraform, Airflow, Tekton, Kafka, Pub/Sub and PySpark.

- Expert Python and API development.

- PostgreSQL and relational databases.

- Knowledge of CI/CD, DevOps and big data technologies.

Preferred Skills :

- Jira experience.

- Data Governance knowledge.

- Machine Learning platforms.

- BI tools.

- Kubernetes and container technologies.