IoT Developer (.NET + Azure)

Epergne Solutions; Mangaluru; On-site; INR 800,000 - 1,400,000; Full time

Job summary

A leading technology firm is seeking a Data Platform Engineer to design and build scalable data pipelines and platforms in cloud environments. The ideal candidate will have 3–5 years of experience in data engineering, proficiency in languages like Python and SQL, and hands-on knowledge of big data technologies. The role involves developing data workflows, implementing CI/CD pipelines, and ensuring data governance across platforms. This position offers flexibility to work remote or on-site.

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 such as Apache Spark, Hadoop, Kafka, or Flink.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms.
• Develop and optimize data ingestion, transformation, and processing workflows.
• Implement CI/CD pipelines, DevOps practices, and Infrastructure-as-Code for deployment.

Skills

TypeScript

C#

Python

SQL

Scala

CI/CD pipelines

DevOps practices

Apache Spark

Hadoop

Kafka

Flink

.NET

Education

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

Tools

AWS CDK

Azure Bicep

BigQuery

Redshift

Snowflake

Databricks

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