Senior Data Engineer – Snowflake

Senior Data Engineer<\/b> <\/h3> <\/p> Experience:<\/b> 5–7 Years <\/div> Employment Type:<\/b> Full -Time <\/div> <\/p> Job Summary:<\/b> <\/h3> We are seeking a highly skilled and motivated Senor Data Engineer<\/b> 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<\/b>. 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. <\/p> Key Responsibilities:<\/b> <\/h3> Design, develop, and optimize data warehouse solutions on Snowflake<\/b> <\/p><\/li> Migrate large -scale data from on -premise systems<\/b> (preferably Big Data platforms) to Snowflake cloud DWH<\/b> <\/p><\/li> Build and maintain efficient ELT/ETL pipelines<\/b>, ensuring performance tuning, robustness, and quick issue resolution <\/p><\/li> Perform in -depth data analysis<\/b> and provide optimized solutions for complex data challenges <\/p><\/li> Utilize Apache Spark, Hadoop<\/b>, and other distributed computing frameworks as required <\/p><\/li> Work closely with stakeholders to define data integration strategies, standards, and best practices <\/p><\/li> Implement data modeling, data standardization, and advanced SQL querying<\/b> for analytics and reporting <\/p><\/li> Collaborate in Agile teams (Scrum/Kanban), contributing to sprint planning, reviews, and retrospectives <\/p><\/li> Mentor junior data engineers and contribute to the growth and scalability of the data engineering practice <\/p><\/li><\/ul> Required Skills:<\/b> <\/h3> 4–7 years of experience in data engineering with at least 2 years on Snowflake<\/b> <\/p><\/li> Strong proficiency in SQL<\/b> and one programming language (Scala or Python<\/b>) <\/p><\/li> Hands -on experience with Snowflake and Snowpark<\/b> <\/p><\/li> Experience with Big Data tools<\/b>: HDFS, YARN, Hive<\/b>, Apache Spark <\/p><\/li> Proficiency in Azure data services<\/b> (e.g., Data Factory, Blob Storage) <\/p><\/li> Familiarity with DevOps tools<\/b> such as Jenkins<\/b>, AWX<\/b>, CTRL -M<\/b>, Git (GitHub)<\/b> <\/p><\/li> Good knowledge of Linux<\/b> and shell scripting <\/p><\/li> Experience working in Agile environments<\/b> using tools like Jira<\/b> <\/p><\/li> ​<\/b> <\/h3> <\/div><\/span>