AWS Data Engineer (3–7 Years Experience)

Techune; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Hybrid work

Health insurance

Professional development

Job summary

Techune in Bengaluru is seeking an AWS Data Engineer to design and build scalable data pipelines on AWS, enabling analytics and BI across the organization. You will develop robust data infrastructure and collaborate with cross-functional teams to meet data needs.

The role requires strong Python/Scala programming, solid SQL skills, and experience with Airflow and large-scale data workloads. Hybrid work setup and ongoing learning opportunities are offered.

Qualifications

• 3–7 years of experience as a Data Engineer or in a similar role.
• Proficiency in AWS services such as S3, Redshift, Glue, Lambda, EMR, Athena, Kinesis.
• Strong programming in Python or Scala; SQL and data warehousing experience.
• Familiarity with orchestration tools like Apache Airflow.

Responsibilities

• Design and develop scalable data pipelines and ETL processes using AWS services.
• Work with large volumes of structured and unstructured data.
• Optimize performance of data workflows for reliability and cost efficiency.
• Collaborate with data scientists, analysts, and engineering teams to support data needs.
• Ensure data quality, consistency, and security across systems.
• Monitor, troubleshoot, and enhance existing data processes in production.

Skills

Python/Scala

SQL

Data pipelines

Airflow

AWS services

Real-time streaming

Tools

Apache Airflow

Terraform

Job description

Role Overview

We are looking for a passionate and experienced AWS Data Engineer to join our growing engineering team. This role involves developing robust data pipelines, building scalable infrastructure, and enabling advanced analytics and business intelligence on the AWS cloud.

Responsibilities

• Design and develop scalable data pipelines and ETL processes using AWS services.
• Work with large volumes of structured and unstructured data.
• Optimize performance of data workflows, ensuring reliability and cost efficiency.
• Collaborate with data scientists, analysts, and engineering teams to support data needs.
• Ensure data quality, consistency, and security across systems.
• Monitor, troubleshoot, and enhance existing data processes in production.

Required Qualifications

• 3–7 years of experience as a Data Engineer or in a similar role.
• Proficiency in AWS services such as S3, Redshift, Glue, Lambda, EMR, Athena, Kinesis.
• Strong programming skills in Python or Scala.
• Advanced knowledge of SQL and experience with data warehousing.
• Familiarity with orchestration tools like Apache Airflow.
• Experience working with large datasets and real-time data streaming.

Preferred Qualifications

• AWS Certification (e.g., Data Analytics – Specialty, Solutions Architect).
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).
• Exposure to CI/CD tools and version control systems like Git.
• Strong understanding of data security and compliance practices (e.g., GDPR, HIPAA).

What We Offer

• Competitive compensation and performance-based incentives
• Hybrid work flexibility and work-life balance
• Health insurance and wellness benefits
• Opportunities to work on challenging, high-impact projects
• A collaborative, innovative, and inclusive team culture
• Continuous learning and professional development support