Data Engineer

Job Title

Senior Data Engineer – Azure Stack

Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in Azure Stack and hybrid cloud environments to join our growing technology team. In this role, you will play a key part in designing, building, and maintaining scalable data platforms that power analytics, reporting, and data-driven decision-making.

The ideal candidate will have hands-on experience with Azure cloud services, data pipelines, and modern data architectures, along with the ability to collaborate across teams and mentor junior engineers.

Key Responsibilities

Data Engineering & Pipelines

• Design, develop, and maintain scalable data pipelines, ETL workflows, and processing frameworks within Azure Stack and hybrid cloud setups

• Ensure reliability, performance, and security of data systems

Cloud & Data Architecture

• Build and manage enterprise data solutions using Azure Stack, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Storage services

• Support cloud-native and hybrid data architectures

Data Integration & Storage

• Develop and optimize data lakes, data warehouses, and cloud storage solutions

• Integrate structured and unstructured data from multiple data sources

Performance & Optimization

• Monitor and enhance pipeline performance, scalability, and cost efficiency

• Implement automation, logging, and monitoring for smooth operations

Collaboration & Leadership

• Work closely with product managers, data scientists, and BI teams to deliver analytics-ready data models

• Provide technical guidance and mentorship to junior engineers

• Contribute to best practices, coding standards, and documentation

Cloud Migration

• Support the migration of on-premises data systems to Azure Stack, ensuring seamless integration and minimal disruption

Required Skills & Qualifications

Experience

• 3–8 years of overall experience in data engineering

• Minimum 2+ years of hands-on experience with Azure Stack and Azure cloud services in hybrid environments

Technical Skills

• Strong knowledge of Azure Stack Hub, Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Databricks, and Azure Blob Storage

• Proficiency in SQL, Python, or similar scripting languages

• Experience building ETL pipelines using Azure Data Factory, Apache Airflow, or equivalent tools

• Solid understanding of data warehousing concepts (star/snowflake schemas)

• Experience with Azure Data Lake, SQL/NoSQL databases

• Familiarity with big data technologies such as Apache Spark, Hadoop, Kafka, or Databricks is an added advantage

Soft Skills

• Strong analytical and problem-solving abilities

• Excellent communication skills to explain technical concepts to non-technical stakeholders

• Ability to work independently and collaboratively in distributed teams

• Detail-oriented mindset with a strong focus on data quality and security

Job Details

• Job Category: Development

• Job Type: Full Time

• Open Positions: 1

• Location: Bengaluru

• Experience Required: 3–6 Years

• Education: BE / BTech / MCA

Tagged as: Data Engineer Jobs in Banglore, Full Time