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Calsoft - Senior Data Engineer - ETL/Python

Calsoft Pvt. Ltd
Multiple Locations
6 - 7 Years

Posted on: 16/12/2025

Job Description

Job Title : Senior Data Engineer



Experience : 6 - 7 Years



Location :


- Indore - P1

- Pune - P2

Role Summary :


We are looking for a skilled Senior Data Engineer with 6-7 years of experience to design, build, and maintain scalable data infrastructure. The role involves developing robust ETL/ELT pipelines, enabling real-time data processing, and integrating data from diverse sources. You will collaborate closely with cross-functional teams to modernize data platforms, implement best practices, and deliver high-performance data solutions on cloud environments.

Mandatory Skill Set :



- Data Engineering


- Python


- ETL / ELT Pipelines


- Data Integration


- Cloud Platforms : AWS / Azure / GCP

Key Responsibilities :


- Design, develop, and maintain distributed data infrastructure and pipelines


- Build and optimize ETL/ELT workflows for batch and real-time processing


- Integrate structured and unstructured data from multiple data sources


- Enable real-time data ingestion and streaming solutions


- Collaborate with application, analytics, and data science teams


- Ensure scalability, reliability, and performance of data platforms


- Establish and follow data engineering best practices and standards

Must-Have Skills :


- 6-7 years of experience in software engineering with a strong focus on data engineering

- Strong understanding of OOP concepts, design patterns, and algorithm optimization


- Proficiency in Python (Java/Scala is a plus)


- Hands-on experience with ETL/ELT pipelines and data integration frameworks


- Strong knowledge of distributed computing and real-time data processing/streaming frameworks


- Experience working with cloud data platforms (AWS, Azure, or GCP)


- Ability to parse unstructured log data and normalize heterogeneous data sources

Good-to-Have Skills :


- Experience with POC development and prototype-to-production workflows



- Familiarity with observability tools, deployment automation, and data quality frameworks


- Exposure to mentoring junior engineers and contributing to architectural decisions


- Experience in technical strategy planning and solution design


- Understanding of ML/AI data workflows and collaboration with data science teams


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