Role Summary
We are seeking a highly skilled Senior Data Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflakeand hands-on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem-solving capabilities, and the ability to collaborate effectively with cross-functional teams to deliver robust data engineering solutions.
Key Responsibilities
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Design, develop, and optimize data pipelines and data models using Snowflake for enterprise analytics and reporting
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Write and optimize complex SQL / PL‑SQL queries, procedures, and transformations to support large‑scale data processing
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Build and optimize enterprise data warehouse solutions on Snowflake.
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Develop data ingestion, transformation, and orchestration workflows using Python, PySpark, and Airflow.
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Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake.
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Implement scalable cloud-based data solutions leveraging AWS services.
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Ensure data quality, governance, security, and compliance across the data platform.
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Perform query tuning, performance optimization, and cost optimization within Snowflake.
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Automate deployment and monitoring through CI/CD and DevOps practices.
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Collaborate with business stakeholders, architects, analysts, and engineering teams to translate business requirements into technical solutions.
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Troubleshoot production issues and implement preventive measures to enhance platform reliability.
Preferred Experience
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Experience in large-scale cloud data migration initiatives.
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Strong understanding of enterprise data architecture and modern data platforms.
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Experience working with structured, semi-structured, and unstructured data.
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Exposure to Banking, Financial Services, or other large enterprise environments will be an added advantage.
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Experience in leading technical discussions and mentoring engineering teams.