Senior Data Engineer-Python + AWS Glue

Aelius Consultants Delhi

Bengaluru

On-site

INR 2,000,000 - 4,000,000

Full time

4 days ago

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Job summary

Aelius Consultants Delhi is seeking an experienced Data Engineer to design and implement scalable data pipelines using Python, Pandas, and AWS managed services. You will collaborate with global teams on data integration and analytics initiatives from Bengaluru.

Ideal candidates have 5–10 years of data engineering experience, strong OO design, and hands-on AWS expertise (Glue, Athena, DynamoDB, Step Functions, Lambda). Familiarity with Agile practices and Azure DevOps is a plus.

Qualifications

Advanced Python programming with data engineering focus.
Proficient in pandas for data manipulation and analysis.
Strong OOP and design patterns knowledge.
Familiar with modern Python development tools and best practices.
Experience with AWS Glue for ETL processes.
Experience using Athena for data querying.
DynamoDB as NoSQL data storage.
Experience with AWS Step Functions and Lambda.
Solid understanding of AWS-based cloud architectures.
Familiarity with Agile methodologies and project management tools (Azure DevOps).
5–10 years of data engineering experience with global or regional projects.

Skills

Advanced Python programming

Pandas data manipulation

OOP and design patterns

Modern Python tools

AWS Glue (ETL)

Amazon Athena

DynamoDB

AWS Step Functions

AWS Lambda

AWS cloud architectures

Azure DevOps

Tools

Azure DevOps

Job description

Hi,

Who We Are Looking For

Required Skills & Experience

Advanced Python programming expertise, with particular strength in:
pandas for data manipulation and analysis
Object-oriented programming (OOP) principles and design patterns
Modern Python development tools and best practices
AWS cloud technologies experience, specifically:
AWS Glue for ETL processes
Amazon Athena for data querying
DynamoDB for NoSQL data storage
AWS Step Functions and Lambda for workflow orchestration
Strong understanding of cloud architectures, particularly AWS-based solutions
Experience with agile software development methodologies and common project management tools (e.g., Azure DevOps)
5-10 years of data engineering experience with global or regional project exposure