🚀 We Are Hiring – Data Engineer (Azure & Snowflake)

📍 Location: Bangalore 💼 Experience: 5–10 Years 🏢 Work Mode: Hybrid 📄 Employment Type: Full-Time

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

• 5–10 years of experience in Data Engineering or related domain • Strong hands-on experience with: • Microsoft Azure Data Services • Python • Snowflake • Pandas • SQL • ETL/ELT processes • Experience working with Azure services such as: • Azure Data Factory (ADF) • Azure Data Lake • Azure Synapse Analytics • 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

• Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or related field

📩 Interested candidates can share their updated resumes to operations@shashwathsolution.com