Cloud Data Engineer

Radial Inc.; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Radial Inc. is looking for an experienced Cloud Data Engineer in Chennai. The candidate should have over 6 years of experience in data engineering, with strong skills in Apache Airflow, SQL, Snowflake, and AWS. You'll be responsible for designing and maintaining data pipelines and implementing best practices for data ingestion and transformation. Strong analytical and problem-solving skills are essential. The position requires working on-site and does not involve remote work or travel.

Qualifications

• 6+ years of professional experience in data engineering, big data, or data warehouse development.
• Strong hands-on experience with Apache Airflow, Python, SQL, Snowflake, and AWS services.
• Experience with JSON, streaming data, or Kafka/MSK.

Responsibilities

• Design, develop, and maintain data pipelines using Apache Airflow.
• Build scalable ETL data pipelines using Python, SQL, and AWS services.
• Implement best practices in data ingestion and transformation.

Skills

Airflow

SQL

Snowflake

Python

AWS

Tools

Apache Airflow

Python

Snowflake

AWS

Linux

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.