Data Engineer

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

Job summary

Techouts is seeking a Data Engineer to design, develop, and support scalable cloud-based data platforms. The role emphasizes AWS serverless technologies, Snowflake, Terraform, Python, and DevOps practices for end-to-end data pipelines and API integrations.

You will collaborate with stakeholders and analytics teams to deliver robust, secure data solutions in a cloud-native environment, with emphasis on performance and cost efficiency.

Qualifications

• 3+ years of Data Engineering experience.
• 3+ years working with AWS cloud services.
• Experience building end-to-end data pipelines and Snowflake platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ingestion frameworks.
• Build end-to-end integrations from external APIs into AWS and Snowflake.
• Develop and optimize ELT/ETL processes for structured and semi-structured data.
• Implement data quality, validation, monitoring, and reconciliation processes.
• Design and maintain data models for reporting and analytics.

Skills

3+ years Data Engineering

3+ years AWS experience

REST APIs

Python

Snowflake

Terraform

Git/GitHub

CI/CD Pipelines

IaC

DevOps practices

AWS Lambda

AWS API Gateway

AWS EventBridge

AWS Fargate / ECS

Amazon S3

AWS IAM

CloudWatch/SNS/SQS

Infra as Code

Tools

AWS Lambda

AWS API Gateway

AWS EventBridge

AWS Fargate

Amazon S3

AWS IAM

CloudWatch/SNS/SQS

AWS DevOps services

Python

REST APIs

Terraform

Git/GitHub

CI/CD Pipelines

Infrastructure as Code

Job description

Job Description: Data Engineer (AWS & Snowflake)

Role Overview

We are seeking an experienced Data Engineer to design, develop, and support scalable cloud-based data platforms and integration solutions. The ideal candidate will have strong expertise in AWS serverless technologies, Snowflake, Terraform, Python, and DevOps practices, with experience building end-to-end data pipelines, API integrations, and cloud-native data platforms.

The role involves working closely with business stakeholders, solution architects, and analytics teams to deliver robust, secure, and scalable data solutions.

Key Responsibilities

Data Engineering & Integration

• Design, develop, and maintain scalable data pipelines and ingestion frameworks.
• Build end-to-end integrations from external APIs into AWS and Snowflake.
• Develop and optimize ELT/ETL processes for structured and semi-structured data (JSON, CSV, XML).
• Implement data quality, validation, monitoring, and reconciliation processes.
• Design and maintain data models for reporting, analytics, and customer data platforms.

AWS Cloud Development

• Develop serverless solutions using AWS Lambda.
• Build and maintain API integrations using AWS API Gateway.
• Design event-driven architectures using AWS EventBridge.
• Develop containerized workloads using AWS Fargate/ECS where appropriate.
• Manage data landing zones and storage solutions using Amazon S3.
• Configure and maintain secure cloud networking and IAM permissions.

Snowflake Development

• Build and maintain Snowflake databases, schemas, stages, tasks, and streams.
• Design scalable data architectures and dimensional models.
• Develop and optimize Snowflake SQL transformations and data pipelines.
• Monitor and optimize Snowflake performance and cost efficiency.

Infrastructure as Code & DevOps

• Develop and maintain infrastructure using Terraform.
• Create reusable Terraform modules for AWS and Snowflake resources.
• Build CI/CD pipelines and deployment automation.

Automation & Monitoring

• Develop operational monitoring, alerting, and dashboard solutions.
• Automate administrative and support activities where possible.
• Troubleshoot production incidents and perform root cause analysis.
• Support business-critical BAU processes and operational data platforms.

Required Skills & Experience

Cloud & AWS

• AWS Lambda
• AWS API Gateway
• AWS EventBridge
• AWS Fargate / ECS
• Amazon S3
• AWS IAM
• CloudWatchSNS/SQS
• AWS DevOps services

Programming & Automation

• Python
• REST APIs

Infrastructure & DevOps

• Terraform
• Git/GitHub
• CI/CD Pipelines
• Infrastructure as Code (IaC)

Experience Required

• 3+ years of Data Engineering experience.
• 3+ years working with AWS cloud services. Role & responsibilities