Job Description
We are looking for an experienced Snowflake Data Engineer with 7+ years of experience in data engineering, data warehousing, and ETL/ELT development. The ideal candidate should have robust hands-on expertise in Snowflake, Python/PySpark, SQL, and DBT and be capable of designing, developing, and optimizing scalable data pipelines and data warehouse solutions.
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nKey Responsibilities
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- Design, develop, and maintain scalable data pipelines using Snowflake, Python/PySpark, SQL, and DBT.n
- Develop and optimize complex SQL queries, stored procedures, views, and data transformation logic.n
- Build robust ETL/ELT pipelines for ingesting and transforming data from multiple sources into Snowflake.n
- Develop data transformation models using DBT (Data Build Tool), including staging, intermediate, and analytical models.n
- Implement data quality checks, validation, reconciliation, and monitoring processes.n
- Optimize Snowflake queries, warehouse utilization, storage, and overall data-processing performance.n




- Develop PySpark/Python scripts for large-scale data processing and transformation.n
- Work with structured and semi-structured data such as JSON, XML, and CSV within Snowflake.n
- Implement incremental data loads and efficiently handle large data volumes.n
- Follow best practices for data modeling, including fact/dimension tables, star schema, and dimensional modeling.n
- Collaborate with data architects, analysts, developers, and business stakeholders to understand data requirements.n
- Troubleshoot data pipeline failures, performance issues, and data inconsistencies.n
- Participate in code reviews and ensure development follows engineering and data governance standards.n
- Maintain technical documentation related to data pipelines, transformations, and data models.n

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nRequired Skills
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- 7+ years of experience in Data Engineering or a similar role.n
- Strong hands-on experience with Snowflake.n
- Strong proficiency

📌 Snowflake Data Engineer (Hyderabad)
🏢 Anblicks
📍 Hyderabad