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SShashwath Solution
Bengaluru, India6 months ago
🚀 We Are Hiring – Data Engineer (Azure & Snowflake)
📍 Location: Bangalore 💼 Experience: 5–10 Years 🏢 Work Mode: Hybrid 📄 Employment Type: Full-Time
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.
• 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
• 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
• 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
• Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or related field
📩 Interested candidates can share their updated resumes to
We compare skills, grade, work format and salary
Most often 1,390,000 to 2,530,000
Grade
Senior
Experience
5-10 years
Work format
Hybrid
Employment
Full-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
🚀 We Are Hiring – Data Engineer (Azure & Snowflake)
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.
• 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
💼 Experience: 5–10 Years • 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 • 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
• Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or related field
• Azure Databricks (Preferred) • 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
📍 Location: Bangalore 🏢 Work Mode: Hybrid 📄 Employment Type: Full-Time
