Job Details
Location: Hyderabad, Telangana
Working Schedule: Full time
Work Arrangement: Hybrid
Relocation Assistance Available: No

Role Overview

This role involves designing, developing, and maintaining cloud-native data solutions while working in an Agile setting.

Key Responsibilities
Modern Data Platform Development:
Build data lake components on cloud-based platforms.
Design and develop data marts for business analysts and data scientists.
Data Engineering Pipelines:
Design data pipelines to integrate structured, semi-structured, and unstructured data from multiple sources.
Implement ETL/ELT processes to transform and cleanse data.
Ensure data quality and transformation rules align with enterprise standards.
Work with Medallion architecture and implement best practices for data modeling.
Agile DevOps Practices:
Deliver solutions using Agile methodologies in a CI/CD-driven environment.
Work on containerized solutions (Azure Kubernetes) and scheduling tools like Azure Scheduler.




Follow secure coding practices and authentication/authorization protocols.

Candidate Qualifications
Education: Bachelor's degree in Computer Science or equivalent.
Experience:
4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI).
2+ years of experience in cloud-based data platform development.
Expertise in building Azure-based data pipelines, including:
Azure Data Factory / Synapse
DataBricks / Synapse Spark Pool
Cosmos DB
Azure Data Lake Storage (ADLS)
Dedicated SQL Pool / Azure SQL
Azure Logic Apps
Hands-on experience with data transformation cleansing using Spark, Python, R, SQL.
Solid understanding of CI/CD, test-driven development, and domain-driven design.

Skills Competencies
Technical Expertise:
Proficiency in Python, SQL, Spark, Azure Data Factory, and ETL processes.
Experience in secure coding, authentication, and monitoring tools like Veracode, MS Entra, PingOne.
Work

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