AWS Data Engineer

at Deqode

AWS Data Engineer

Deqode

Company

Home

AWS Data Engineer

at Deqode

Posted by Alisha Das

5.6 - 7 yrs

₹10L - ₹28L / yr

Bengaluru (Bangalore), Mumbai, Pune, Chennai, Gurugram

Skills

Amazon Web Services (AWS)

Python

PySpark

SQL

Job Summary:

As an AWS Data Engineer, you will be responsible for designing, developing, and maintaining scalable, high-performance data pipelines using AWS services. With 6+ years of experience, you’ll collaborate closely with data architects, analysts, and business stakeholders to build reliable, secure, and cost-efficient data infrastructure across the organization.

Key Responsibilities:

Design, develop, and manage scalable data pipelines using AWS Glue, Lambda, and other serverless technologies
Implement ETL workflows and transformation logic using PySpark and Python on AWS Glue
Leverage AWS Redshift for warehousing, performance tuning, and large-scale data queries
Work with AWS DMS and RDS for database integration and migration
Optimize data flows and system performance for speed and cost-effectiveness
Deploy and manage infrastructure using AWS CloudFormation templates
Collaborate with cross-functional teams to gather requirements and build robust data solutions
Ensure data integrity, quality, and security across all systems and processes

Required Skills & Experience:

6+ years of experience in Data Engineering with strong AWS expertise
Proficient in Python and PySpark for data processing and ETL development
Hands-on experience with AWS Glue, Lambda, DMS, RDS, and Redshift
Strong SQL skills for building complex queries and performing data analysis
Familiarity with AWS CloudFormation and infrastructure as code principles
Good understanding of serverless architecture and cost-optimized design
Ability to write clean, modular, and maintainable code
Strong analytical thinking and problem-solving skills

Job Summary:

Key Responsibilities:

Design, develop, and manage scalable data pipelines using AWS Glue, Lambda, and other serverless technologies
Implement ETL workflows and transformation logic using PySpark and Python on AWS Glue
Leverage AWS Redshift for warehousing, performance tuning, and large-scale data queries
Work with AWS DMS and RDS for database integration and migration
Optimize data flows and system performance for speed and cost-effectiveness
Deploy and manage infrastructure using AWS CloudFormation templates
Collaborate with cross-functional teams to gather requirements and build robust data solutions
Ensure data integrity, quality, and security across all systems and processes

Required Skills & Experience:

6+ years of experience in Data Engineering with strong AWS expertise
Proficient in Python and PySpark for data processing and ETL development
Hands-on experience with AWS Glue, Lambda, DMS, RDS, and Redshift
Strong SQL skills for building complex queries and performing data analysis
Familiarity with AWS CloudFormation and infrastructure as code principles
Good understanding of serverless architecture and cost-optimized design
Ability to write clean, modular, and maintainable code
Strong analytical thinking and problem-solving skills

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About Deqode

Founded :

2016

Type :

Products & Services

Size :

100-1000

Stage :

Bootstrapped

About

At Deqode, our purpose is to help businesses solve complex problems using new-age technologies. We provide enterprise blockchain solutions to businesses.

Mohini Bansal

Connect

Company social profiles

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