Data Engineer - Data Platforms - Azure

Hiring Alert on eazyway.io | Data Engineer - Data Platforms - Azure

Location: Bengaluru, Karnataka

Work Type: On-Site | Full-Time

Total Positions: 1

Experience: 8–10 Years

Isiri Technologies INC is looking to hire an experienced Azure Data Engineer through the Eazyway Platform. The candidate should have strong experience in digital transformation, data engineering, cloud data infrastructure, Azure services, SQL, NoSQL, data modelling, data warehousing, and analytics.

The ideal candidate should have experience designing, delivering, and managing scalable data infrastructures and working closely with data analysts, data scientists, and BI teams to deliver business data requirements.

Key Responsibilities

1. Data Engineering & Infrastructure

• Design, develop, deliver, and manage scalable data infrastructures.

• Develop robust data engineering solutions to support business and analytics requirements.

• Work on digital transformation and data-driven technology initiatives.

• Ensure data platforms are scalable, reliable, secure, and maintainable.

• Analyze existing data infrastructure and recommend improvements.

2. Azure Cloud Data Engineering

• Design and implement data engineering solutions using Microsoft Azure cloud services.

• Work with Azure services for data processing, storage, analytics, and integration.

• Develop scalable cloud-based data platforms.

• Optimize Azure data solutions for performance, reliability, and cost efficiency.

• Support cloud migration and data modernization initiatives.

3. SQL & NoSQL Development

• Work with relational and NoSQL databases to support data engineering requirements.

• Develop complex SQL queries for data processing, analysis, and reporting.

• Design and optimize data storage solutions based on business requirements.

• Analyze database performance and implement appropriate optimization techniques.

• Work with different data structures and data sources across enterprise environments.

4. Data Modelling & Data Warehousing

• Design effective data models for analytical and operational requirements.

• Develop and maintain data warehouse solutions.

• Work with structured and unstructured data.

• Support data virtualization and enterprise analytics requirements.

• Ensure data models are scalable, reusable, and aligned with business requirements.

5. ETL & Data Pipeline Development

• Design and develop reliable ETL pipelines for data integration and processing.

• Build data pipelines to ingest, transform, validate, and deliver data.

• Optimize data pipelines for performance and scalability.

• Monitor pipeline execution and troubleshoot data-processing issues.

• Ensure data quality and consistency throughout the data pipeline lifecycle.

Experience & Qualifications

• Experience: 8–10 years of experience in data engineering, data platforms, or related data projects.

• Strong experience in digital transformation and data engineering projects.

• Strong experience designing, delivering, and managing data infrastructures.

• Strong hands-on experience with Microsoft Azure cloud services for data engineering, storage, and analytics.

• Strong experience with SQL and NoSQL databases.

• Strong understanding of data modelling, data warehousing, data virtualization, and analytics.

• Experience designing and developing ETL pipelines is preferred.

• Experience with real-time data ingestion technologies such as Kafka is preferred.

• Experience working with data analysts, data scientists, and BI teams.

• Experience managing internal and external technical resources.

• Experience with Python development is an advantage.

• Experience with Data Catalogue solutions is an advantage.

• Strong understanding of cloud-based data architecture and data platforms.

• Strong problem-solving and analytical skills.

• Good communication, leadership, and stakeholder-management skills.

Job Code: EZW-100393

How to Apply

Step 1: Register as a Job Seeker using the link below:

https://eazyway.io/register

Step 2: Log in after completing the registration.

Step 3: Search using Job Code: EZW-100393 in the Recruitment Job Section.

Step 4: Submit your application.

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