Exp : 7-10 years
We are looking for a Data Engineer with experience in data integration, ETL development, and pipeline orchestration . While experience with RapidMiner is desirable, we strongly encourage candidates with hands-on expertise in other ETL and data engineering tools to apply.

You will be responsible for designing, building, and maintaining scalable data pipelines that support analytics, reporting, and machine learning use cases.

Requirements

Required Skills

- Experience with RapidMiner is a must have.

- Robust experience in data engineering or ETL development

- Proficiency in SQL and working with relational databases

- Experience with at least one ETL or data integration tool such as:

- Informatica PowerCenter

- Talend

- Microsoft SQL Server Integration Services (SSIS)

- Apache NiFi

- Azure Data Factory

- or similar platforms

- Understanding of data modeling concepts (star schema, normalization, etc.)

- Familiarity with scripting/programming languages such as Python

Preferred Skills

- Experience with RapidMiner or similar visual data workflow tools

- Exposure to big data technologies (e.g., Apache Spark)

- Knowledge of cloud platforms (Azure, AWS, or GCP)

- Experience supporting analytics or BI tools such as Power BI

- Understanding of machine learning workflows is a plus

Qualifications

- Bachelor s degree in Computer Science, Engineering,



or a related field (or equivalent experience)

Nice to Have

- Experience with workflow orchestration tools (e.g., Apache Airflow)

- Familiarity with containerization (Docker/Kubernetes)

- Exposure to CI/CD practices in data pipelines

Responsibilities

- Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data from multiple sources

- Build workflows using platforms such as RapidMiner or equivalent tools

- Perform data cleansing, transformation, and validation to ensure high-quality datasets

- Integrate data from databases, APIs, flat files, and cloud sources

- Optimize data pipelines for performance, scalability, and reliability

- Collaborate with data analysts, BI developers, and data scientists to deliver usable datasets

- Implement data governance, lineage, and monitoring practices

- Troubleshoot and resolve data-related issues in production environments

About the Company

Xopuntech India Pvt. Ltd

Software company

View Company Profile

Job Overview

Employment Type Full-time

Experience Level 7-10 years

Department Data Engineering

Location Remote (India)

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (RapidMiner / ETL / Data Integration) (India)
🏢 Xopuntech India
📍 India