Cloud Data Engineer

Experience: 6+ Years

Mandatory Skills

- AWS (S3, Lambda, Glue, EC2)
- Snowflake
- DBT
- Apache Airflow
- SQL & Python
- CI/CD (Git, Jenkins, GitHub Actions/GitLab CI)
- Terraform / Infrastructure as Code

Key Responsibilities

- Design and implement scalable cloud-based data pipelines on AWS.
- Develop and manage ETL/ELT workflows using Airflow and DBT.
- Build, optimize, and maintain Snowflake data warehouses.
- Automate deployments and infrastructure using Terraform and CI/CD practices.
- Support data migration, integration, and cloud transformation initiatives.
- Monitor, troubleshoot, and improve data pipeline performance and reliability.
- Collaborate with stakeholders to define data solutions and architecture.

Preferred Skills

- Kubernetes, Spark, Kafka
- DataOps practices
- Monitoring tools (CloudWatch, Grafana, Prometheus, Splunk)
- AWS Solutions Architect / Data Analytics certifications

Required Competencies

- Solid solutioning and architecture experience
- Expertise in enterprise cloud data platforms
- Excellent communication and stakeholder management skills
- Experience delivering large-scale analytics and data engineering solutions on AWS and Snowflake.

📌 Cloud Data Engineer - Snowflake, DBT, Airflow and AWS. (Bengaluru)
🏢 Synechron
📍 Bengaluru