Data Engineer - Azure & Snowflake DB

About the Role :

We are looking for a highly skilled Data Engineer with strong expertise in Azure Data Services, Snowflake, Python, and data processing frameworks such as Pandas. The ideal candidate will play a key role in building scalable cloud-based data solutions, optimizing data pipelines, and enabling advanced analytics capabilities.

Key Responsibilities :

- Design, develop, and maintain scalable ETL/ELT pipelines and workflows

- Build cloud-native data engineering solutions using Microsoft Azure services

- Develop and optimize data ingestion and transformation processes using Python and Pandas

- Work extensively with Snowflake for data warehousing, query optimization, and performance tuning

- Integrate data from APIs, databases, flat files, and cloud storage systems

- Collaborate with analytics and business teams to deliver high-quality datasets

- Ensure data quality, governance, consistency, and security standards

- Automate monitoring, validation, and reporting for data workflows

- Troubleshoot and resolve performance bottlenecks in pipelines and cloud infrastructure

- Participate in architecture discussions and recommend scalable data engineering best practices

Required Skills & Qualifications :

- 510 years of experience in Data Engineering or related domain

- Strong hands-on experience with :

i. Microsoft Azure Data Services

ii. Python

iii. Snowflake

iv. Pandas

v. SQL

vi. ETL/ELT processes

- Experience working with Azure services such as :

i. Azure Data Factory (ADF)

ii. Azure Data Lake

iii. Azure Synapse Analytics

iv. Azure Databricks (Preferred)

- Strong understanding of cloud-based architectures and data warehousing concepts

- Expertise in SQL query optimization and performance tuning

- Experience handling large-scale structured and semi-structured datasets

- Familiarity with Git/version control systems

- Excellent analytical, troubleshooting, and communication skills

Preferred Qualifications :

- Experience with NumPy and other data analysis libraries

- Exposure to Machine Learning data preparation workflows

- Knowledge of Apache Airflow or orchestration tools

- Experience with CI/CD pipelines and DevOps practices

- Azure certifications are an added advantage

Educational Qualification :

- Bachelors or Masters degree in Computer Science, IT, Engineering, or related field