
Senior Data Engineer – Snowflake
6 days ago
Experience: 5–7 Years
Employment Type: Full-Time
Job Summary:
We are seeking a highly skilled and motivated Senor Data Engineer with 5–7 years of experience in Big Data platforms and at least 2 years of hands-on experience in designing and implementing data warehouse (DWH) solutions on Snowflake. The ideal candidate will have strong expertise in cloud-based data services (preferably Azure), distributed computing frameworks, and robust ELT/ETL development, with a solid understanding of modern data engineering practices in a DevOps environment.
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Design, develop, and optimize data warehouse solutions on Snowflake
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Migrate large-scale data from on-premise systems (preferably Big Data platforms) to Snowflake cloud DWH
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Build and maintain efficient ELT/ETL pipelines, ensuring performance tuning, robustness, and quick issue resolution
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Perform in-depth data analysis and provide optimized solutions for complex data challenges
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Utilize Apache Spark, Hadoop, and other distributed computing frameworks as required
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Work closely with stakeholders to define data integration strategies, standards, and best practices
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Implement data modeling, data standardization, and advanced SQL querying for analytics and reporting
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Collaborate in Agile teams (Scrum/Kanban), contributing to sprint planning, reviews, and retrospectives
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Mentor junior data engineers and contribute to the growth and scalability of the data engineering practice
4–7 years of experience in data engineering with at least 2 years on Snowflake
Strong proficiency in SQL and one programming language (Scala or Python)
Hands-on experience with Snowflake and Snowpark
Experience with Big Data tools: HDFS, YARN, Hive, Apache Spark
Proficiency in Azure data services (e.g., Data Factory, Blob Storage)
Familiarity with DevOps tools such as Jenkins, AWX, CTRL-M, Git (GitHub)
Good knowledge of Linux and shell scripting
Experience working in Agile environments using tools like Jira
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