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Connectivity & Data Engineer

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Onsite

Connectivity & Data Engineer

Agile Technology

Connectivity & Data Engineer

Skills

SQL QueriesPythonAWS LambdaAmazon RedshiftDatabricksData AnalysisMachine LearningAIAWSCRMPySpark

2 months ago

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Important information


Contract type:

Permanent

Location:

Chhatrapati Sambhajinagar, Maharashtra, India

Work mode:

Onsite

Published on:

24 August 2026

What they need


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 strong 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 been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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