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