Cloud Data Engineer

Radial Inc.; Chennai; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Radial Inc. is seeking an experienced Cloud Data Engineer in Chennai, India. The ideal candidate will have over 6 years of experience in data engineering with strong expertise in Apache Airflow, SQL, Snowflake, and Python. Responsibilities include designing and maintaining data pipelines, developing cloud-based ETL solutions, and collaborating with teams to implement data solutions. This role requires problem-solving abilities and proficiency in Agile methodologies.

Qualifications

• 6+ years of professional experience in data engineering, big data, or data warehouse development.
• Strong hands-on experience with Apache Airflow for DAG design and scheduling.
• Expertise in Python for data processing and automation.
• Advanced SQL skills for complex queries and optimization.
• Experience with Snowflake, including data modeling and performance tuning.

Responsibilities

• Design, develop, and maintain data pipelines and workflow orchestration.
• Build scalable and reliable ETL/ELT data pipelines using Python and AWS.
• Collaborate with cross-functional teams to implement data solutions.
• Ensure data security, governance, and adherence to architectural standards.

Skills

Apache Airflow

SQL

Snowflake

Python

AWS services (S3, Glue, Lambda, etc.)

Linux environments

Shell scripting (Bash/PowerShell)

JSON

Streaming data

RDBMS concepts

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.

Radial is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.

Radial is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please contact us by emailing [e-mail]. We will work to assist disabled job seekers whose disability prevents them from being able to apply online.