Job Description
About The Role
We are looking for an experienced Data Engineer with 4+ years of strong Snowflake skills to join our data engineering team. The ideal candidate will have a sound background in data ingestion, data processing and data management using technologies such as Snowflake, Snowpark and DBT.
Requirements
• At least 3 to 7 years of experience on big data platform and at least 2 years of experience in implementing DWH on Snowflake.
• In-depth knowledge on Apache Spark, Hive and HDFS would be preferred.
• Responsible for migrating and testing data pipelines and ensuring efficient data storage and processing.
• Work with CI/CD tools, such as Jenkins, and schedulers like CTRL-M, to automate data workflows.
• Proven experience with cloud platforms preferable Azure particularly on data services.
• Good understanding of distributed computing frameworks like Apache Spark and Hadoop etc.
• Perform Analysis on existing data storage systems Big Data & development of data solutions in Snowflake.
• High Proficiency in SQL and at least one of the following languages like Scala/Python.
• Experience in working on migrating data from on-premises databases preferably Big Data platform to Snowflake.
• Expertise in building robust ELT/ETL processes, performance tuning of the data pipelines in Snowflake and should be able to trouble shoot the issues quickly.
• Strong knowledge on Integration concepts and design best practices.
• Expertise in data modelling and data integration, Advanced SQL skills for analysis, standardizing queries.
• Proven experience in managing and mentoring data engineering teams.
We are looking for an experienced Data Engineer with 4+ years of strong Snowflake skills to join our data engineering team. The ideal candidate will have a sound background in data ingestion, data processing and data management using technologies such as Snowflake, Snowpark and DBT.
Requirements
• At least 3 to 7 years of experience on big data platform and at least 2 years of experience in implementing DWH on Snowflake.
• In-depth knowledge on Apache Spark, Hive and HDFS would be preferred.
• Responsible for migrating and testing data pipelines and ensuring efficient data storage and processing.
• Work with CI/CD tools, such as Jenkins, and schedulers like CTRL-M, to automate data workflows.
• Proven experience with cloud platforms preferable Azure particularly on data services.
• Good understanding of distributed computing frameworks like Apache Spark and Hadoop etc.
• Perform Analysis on existing data storage systems Big Data & development of data solutions in Snowflake.
• High Proficiency in SQL and at least one of the following languages like Scala/Python.
• Experience in working on migrating data from on-premises databases preferably Big Data platform to Snowflake.
• Expertise in building robust ELT/ETL processes, performance tuning of the data pipelines in Snowflake and should be able to trouble shoot the issues quickly.
• Strong knowledge on Integration concepts and design best practices.
• Expertise in data modelling and data integration, Advanced SQL skills for analysis, standardizing queries.
• Proven experience in managing and mentoring data engineering teams.
💡 Quick Summary
Seeking a career-building opportunity? The Bigdata Engineer-Snowflake position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.