Happiest Minds Technologies - Senior Data Engineer - Azure Data Factory

Job Description : Data Engineer Azure, Snowflake, Synapse, ETL/ELT

Position Summary :

We are seeking an experienced Data Engineer with a minimum of 6+ years in designing and implementing modern data solutions. The ideal candidate will have strong expertise in Azure Data Factory, mini data lake architectures, Snowflake, Azure Synapse Analytics, and ETL/ELT processes. This role involves building scalable data pipelines, optimizing workflows, and enabling advanced analytics for enterprise-grade solutions.

Key Responsibilities :

- Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and SSIS.

- Implement and manage mini data lake solutions on Azure for efficient ingestion and storage.

- Build and optimize data models in Snowflake and Azure Synapse Analytics.

- Integrate data from multiple sources ensuring quality, consistency, and governance.

- Monitor and tune pipelines for scalability and cost efficiency.

- Implement automated workflows and deployment pipelines using Azure DevOps.

- Partner with BI teams, data scientists, and business stakeholders to deliver actionable insights.

- Maintain clear documentation of data flows, schemas, and governance policies.

Required Skills and Qualifications :

- Minimum 6+ years in data engineering with strong exposure to cloud-based data platforms.

- Advanced pipeline design and orchestration using Azure Data Factory (ADF).

- Proficient in Snowflake & Synapse for data modeling and query optimization.

- Hands-on experience with SSIS and modern ETL/ELT frameworks.

- Experience in mini data lake design and management on Azure.

- Strong SQL skills and familiarity with Python or PowerShell for automation.

- Knowledge of deployment automation and version control (Git).

- Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

- Experience with Azure Databricks or other big data processing frameworks.

- Familiarity with data governance tools and data cataloging.

- Exposure to real-time data streaming (Azure Service Bus, Kafka, Event Hub).

- Knowledge of performance tuning for large-scale data systems.

Certifications :

- Microsoft Certified : Azure Data Engineer Associate

- Snowflake SnowPro Core Certification

- Any relevant Azure or Data Engineering certifications

Key Performance Indicators (KPIs) :

- Timely delivery of data pipelines and integration projects.

- Data accuracy and quality in all ETL/ELT processes.

- Performance optimization of data workflows and queries.

- Successful implementation of automation and CI/CD pipelines.

- Stakeholder satisfaction and collaboration effectiveness.

- Compliance with data governance and security standards.

(ref:hirist.tech)