Senior Engineer
2 days ago
Skills: SQL,AWS, Big Data, Hadoop, Data Warehousing.
Location: Bangalore
Data engineer
Good understanding of AWS Data Stack including services like S3, Redshift, EMR, Lambda, Athena and Glue. Good understanding of Hadoop/HDFS
· Designing and developing ETL jobs across multiple platforms
· Designing and developing schema definitions and support data warehouse/mart to enable integration of disparate data sources from within Intuit and outside, aggregate it and make it available for analysis
· Must have mastery of data warehousing technologies including data modelling, ETL and reporting. Ideal candidate to have 3+ years of experience in end-to-end data warehouse implementations and at least 2 projects with 4TB+ data volume. Strong in SQL and data modelling.
· Experience in developing DB schemas, creating ETLs, and familiar with MPP/Hadoop systems
· Good knowledge of Operating Systems (Unix or Linux)
· Good understanding of Data ware House methodologies
· Hands on experience in any of the programming languages (Shell scripting, Scala, Python, Java, etc)
· Good written, oral communication and presentation Skills
· Knowledge of Big Data eco system like Hadoop M/R, Pig and Hive is a strong plus
· Good knowledge on Agile principles and experience working in scrum teams using Jira
Long Description
Skills: SQL,AWS, Big Data, Hadoop, Data Warehousing.
Location: Bangalore
Data engineer
Good understanding of AWS Data Stack including services like S3, Redshift, EMR, Lambda, Athena and Glue. Good understanding of Hadoop/HDFS
· Designing and developing ETL jobs across multiple platforms
· Designing and developing schema definitions and support data warehouse/mart to enable integration of disparate data sources from within Intuit and outside, aggregate it and make it available for analysis
· Must have mastery of data warehousing technologies including data modelling, ETL and reporting. Ideal candidate to have 3+ years of experience in end-to-end data warehouse implementations and at least 2 projects with 4TB+ data volume. Strong in SQL and data modelling.
· Experience in developing DB schemas, creating ETLs, and familiar with MPP/Hadoop systems
· Good knowledge of Operating Systems (Unix or Linux)
· Good understanding of Data ware House methodologies
· Hands on experience in any of the programming languages (Shell scripting, Scala, Python, Java, etc)
· Good written, oral communication and presentation Skills
· Knowledge of Big Data eco system like Hadoop M/R, Pig and Hive is a strong plus
· Good knowledge on Agile principles and experience working in scrum teams using Jira
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