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Cloud Data Engineer - Snowflake, DBT, Airflow and AWS.
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- Posted 9 days ago
- Be among the first 40 applicants
Job Description
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
- Strong 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.
More Info
Key Skills
About Company
Skills:
Java, Performance Tuning, Pyspark, Kafka, Sql, ELT, Query Optimization, Apache Airflow, Data Quality, Git, Data Governance, Python, Etl, Apache Iceberg, DevOps practices, data modeling techniques, data transformation frameworks, large-scale structured and unstructured datasets, Spark-based data processing, data partitioning, metadata
Skills:
Github, Data Modeling, Data Warehousing Concepts, Sql, Git, Azure Data Factory, Python, Aws S3, Airflow, CI CD Pipelines, Snowflake Data Cloud, DBT Data Build Tool
Skills:
snowflake , VMware, Google Cloud Platform, PostgreSQL, Sql, Terraform, MySQL, Spark, Microsoft Azure, Puppet, Oracle, AWS, Hyper-V, Chef, dbt
Skills:
snowflake , Github, Dimensional Modeling, Sql, ELT, Git, Gcp, Data Warehousing, Azure, Python, AWS, Etl, dbt
Skills:
file formats , Redshift, Sql, Data Modeling, Logging, Pyspark, AWS, Data Quality, Python, Git, Spark, Lakehouse Data Lake architectures, alerting, Monitoring, Apache Iceberg, observability, partitioning, DBT Cloud