Verified Job
Hardware / Network Engineer
Cloud Data Engineer
Hardware / Network Engineer
#734482
Remote / WFH
Radial Inc.
Job Description
Role Summary
We are seeking an experienced Cloud Data Engineer with strong expertise in Airflow, SQL, Snowflake, Python, and AWS. The ideal candidate will have a solid background in designing and building scalable data pipelines, cloud-based ETL solutions, and modern data warehouse platforms. This role requires strong technical skills, a problem ‑ solving mindset, and the ability to work in an Agile environment.
Responsibilities
Design, develop, and maintain data pipelines and workflow orchestration using Apache Airflow.
Build scalable and reliable ETL/ELT data pipelines using Python, SQL, and AWS data services.
Develop and optimize Snowflake schemas, queries, stored procedures, and data models.
Implement best practices in data ingestion, data transformation, and data quality validation.
Collaborate with cross-functional teams to gather requirements and implement end-to-end data engineering solutions.
Perform performance tuning, query optimization, and troubleshoot complex data issues.
Work across the Software Development Life Cycle (SDLC) using Agile/Scrum methodologies.
Ensure data security, governance, and adherence to architectural standards.
Qualifications:
6+ years of professional experience in data engineering, big data, or data warehouse development.
Strong hands-on experience with:
Apache Airflow (DAG design, scheduling, monitoring).
Python (data processing, automation, scripting).
Advanced SQL (complex queries, optimization, stored procedures).
Snowflake (data modeling, performance tuning, Snowpipe, tasks, streams).
AWS services such as S3, Glue, Lambda, Athena, RDS, Redshift, IAM, etc.
Experience with Linux environments and shell scripting (Bash/PowerShell).
Strong understanding of cloud-based ETL/ELT technologies.
Experience working with JSON, streaming data, or Kafka/MSK.
Excellent knowledge of RDBMS concepts and database objects.
Travel
This position is not remote.
Travel is not required.
We are seeking an experienced Cloud Data Engineer with strong expertise in Airflow, SQL, Snowflake, Python, and AWS. The ideal candidate will have a solid background in designing and building scalable data pipelines, cloud-based ETL solutions, and modern data warehouse platforms. This role requires strong technical skills, a problem ‑ solving mindset, and the ability to work in an Agile environment.
Responsibilities
Design, develop, and maintain data pipelines and workflow orchestration using Apache Airflow.
Build scalable and reliable ETL/ELT data pipelines using Python, SQL, and AWS data services.
Develop and optimize Snowflake schemas, queries, stored procedures, and data models.
Implement best practices in data ingestion, data transformation, and data quality validation.
Collaborate with cross-functional teams to gather requirements and implement end-to-end data engineering solutions.
Perform performance tuning, query optimization, and troubleshoot complex data issues.
Work across the Software Development Life Cycle (SDLC) using Agile/Scrum methodologies.
Ensure data security, governance, and adherence to architectural standards.
Qualifications:
6+ years of professional experience in data engineering, big data, or data warehouse development.
Strong hands-on experience with:
Apache Airflow (DAG design, scheduling, monitoring).
Python (data processing, automation, scripting).
Advanced SQL (complex queries, optimization, stored procedures).
Snowflake (data modeling, performance tuning, Snowpipe, tasks, streams).
AWS services such as S3, Glue, Lambda, Athena, RDS, Redshift, IAM, etc.
Experience with Linux environments and shell scripting (Bash/PowerShell).
Strong understanding of cloud-based ETL/ELT technologies.
Experience working with JSON, streaming data, or Kafka/MSK.
Excellent knowledge of RDBMS concepts and database objects.
Travel
This position is not remote.
Travel is not required.
