IoT Developer (.NET + Azure)

Epergne Solutions; Maharashtra; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology solutions provider is seeking a Data Platform Engineer to design and maintain scalable data pipelines in cloud environments. The role requires 3-5 years of experience in data engineering and proficiency in languages like TypeScript and Python. Responsibilities include optimizing data workflows and implementing CI/CD pipelines. This position offers flexibility with the option for remote work while focusing on performance and data governance.

Qualifications

• 3–5 years of experience in enterprise technology, data engineering, or platform operations.
• Hands-on experience with CI/CD pipelines, DevOps practices, and Infrastructure-as-Code.
• Experience with big data technologies.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms in cloud environments.
• Develop and optimize data ingestion, transformation, and processing workflows for large-scale datasets.
• Implement CI/CD pipelines and DevOps practices for data platform deployment.

Skills

TypeScript

C#

Python

SQL

Scala

Apache Spark

Hadoop

Kafka

Flink

AWS

Azure

GCP

.NET

Education

Bachelor’s degree in Technology, Engineering, or a related field

Tools

AWS CDK

Azure Bicep

Job description

Overview

Job Role: Data Platform Engineer

Job Location: India/Remote

Experience: 3-5 Years

Roles & Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms in cloud environments.
• Develop and optimize data ingestion, transformation, and processing workflows for large-scale datasets.
• Implement CI/CD pipelines, DevOps practices, and Infrastructure-as-Code for data platform deployment and management.
• Work with big data frameworks to process and analyze high-volume data efficiently.
• Ensure data governance, security, and compliance across data platforms.
• Optimize data performance, indexing, and query execution in distributed environments.
• Support real-time and batch data streaming architectures for analytics and operational workloads.
• Collaborate with cross-functional teams to deliver data-driven solutions and platform improvements.

Skills & Requirements

• Bachelor’s degree in Technology, Engineering, or a related field.
• 3–5 years of experience in enterprise technology, data engineering, or platform operations.
• Proficiency in TypeScript, C#, Python, SQL, or Scala.
• Hands-on experience with CI/CD pipelines, DevOps practices, and Infrastructure-as-Code (AWS CDK, Azure Bicep).
• Experience with big data technologies such as Apache Spark, Hadoop, Kafka, or Flink.
• Knowledge of cloud platforms including AWS, Azure, or GCP and cloud-native data solutions such as BigQuery, Redshift, Snowflake, or Databricks.
• Understanding of data modeling, data warehousing, distributed systems, and data platform architecture.
• Experience with data ingestion pipelines, governance frameworks, and data security practices.
• Familiarity with multi-cloud environments, performance tuning, and distributed query optimization.
• Exposure to real-time and batch data processing architectures.
• Proficiency with .NET