Job Details
- Position: Connectivity Data Engineer
- Experience: 5 to 7 Years
- Location: Chhatrapati Sambhajinagar
- Work Mode: Office (5 Days Working)
- Job Type: Permanent Role on Direct Payroll of Everllence India Pvt Ltd, Chhatrapati Sambhajinagar
Job Summary

We are looking for a skilled Data Engineer with robust expertise in AWS, Python, PySpark, Databricks, and AWS Glue to design, build, and maintain scalable data solutions. The candidate will work on integrating data from OT, IoT, and IT systems, creating reliable pipelines, and enabling analytics, reporting, and digital transformation initiatives.
Key Responsibilities
- Design, develop, and optimize scalable data pipelines for structured and unstructured data sources.
- Build ETL / ELT workflows using AWS Glue, PySpark, Python, and Databricks.
- Develop batch and real-time data ingestion frameworks using AWS services.
- Integrate data from OT, IoT, ERP, CRM, and enterprise applications.
- Ensure data quality, consistency, governance, and security across pipelines.
- Work with AWS S3, Redshift, Lambda, Athena, RDS, IAM,



CloudWatch and related cloud services.
- Create reusable data models, APIs, and standardized interfaces.
- Support analytics, dashboards, BI reporting, AI/ML, and Digital Twin use cases.
- Monitor pipeline performance and troubleshoot production issues.
- Collaborate with Cloud Architects, BI Analysts, Developers, and Business teams for end-to-end delivery.
- Maintain technical documentation and follow best coding practices.
Required Skills
- Strong experience in AWS Cloud Platform
- Hands-on expertise in Python programming
- Strong knowledge of PySpark and Spark optimization
- Experience with Databricks platform
- Expertise in AWS Glue for ETL development
- Knowledge of SQL and data warehousing concepts
- Experience with APIs, JSON, CSV, Parquet, Delta Lake
- Understanding of CI/CD, Git, DevOps practices

Disclaimer: This job description has been sourced from a public domain and may have be

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