Python & AWS Developer – CMTADMIPE

Job ID: INFYSYJP00009014
Experience: 6+ Years
Location: Pan India
Salary: ₹17–19 LPA

Job Description

We are looking for a Python & AWS Developer / ETL Developer with 6+ years of hands-on experience in building and managing data pipelines on the AWS platform.

The candidate should have strong experience in Python, AWS Redshift, AWS S3, Airflow and ETL development, along with prior experience working on data warehousing projects.

Key Responsibilities

· Design, develop and maintain ETL workflows for extracting, transforming and loading data.

· Build and manage data pipelines on AWS.

· Develop Python scripts to ingest data from Amazon S3 and perform complex data transformations.

· Develop and optimize data transformation queries for large datasets.

· Work with AWS Redshift for data warehousing and analytics requirements.

· Ensure data is accurately extracted from source systems, transformed according to business rules and loaded into target data warehouses or data lakes.

· Optimize ETL processes for performance, scalability and reliability.

· Develop and maintain ETL workflows using appropriate ETL and orchestration tools.

· Work with Apache Airflow for ETL/data pipeline orchestration.

· Work closely with data analysts, data scientists, business stakeholders and other developers to understand data requirements.

· Document ETL processes, data mappings, workflows and technical solutions.

· Participate in code reviews and follow data engineering best practices.

· Follow Git branching and deployment practices across Feature → Dev → UAT → PRD environments.

Mandatory Skills

The following skills are mandatory and should be treated as primary screening criteria:

· Python

· AWS Redshift

· AWS S3

· AWS Secrets Manager

· Apache Airflow

· ETL / Data Pipeline Development

· Data Warehousing

Mandatory Experience / Requirements

· 6+ years of relevant hands-on experience.

· Strong hands-on experience developing Python scripts for data ingestion and transformation.

· Hands-on experience with AWS data pipelines.

· Strong experience with AWS Redshift.

· Experience working with Amazon S3.

· Familiarity with AWS Secrets Manager.

· Hands-on experience with Airflow / ETL orchestration.

· Prior experience working on data warehousing projects.

· Experience designing, developing and optimizing ETL workflows.

· Good understanding of data extraction, transformation and loading processes.

· Experience with Git/GitLab branching and promotion processes.

Good-to-Have / Preferred Skills

· Experience with AI/ML concepts or projects.

· Familiarity with AI agent frameworks.

· Understanding of MicroStrategy connectivity.

· Experience with additional AWS data engineering services.

· Experience working with data lakes and large-scale data processing.