Data Engineer

Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

• Manage and build ETL Pipelines: Python + Postgres databases
• Administer various data applications: Tableau Server Admin , Snowflake Admin and DBA , and GitHub
• Manage Apptio Enterprise Datawarehouse Pipeline (required skills: Advanced analytical SQL, FiveTran, dbt )
• Maintain Apptio legacy data and reporting Infrastructure: Tableau and Snowflake
• Support data migration and data automation requirements for the business.

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• 3+ years in working in multiple AWS services - Cloud data engineering, RedShift DBA, AWS S3
• Expertise in Python, dBT, Fivetran
• 3+ years in Snowflake Administration and DBA
• Tableau Server Admin (required skills: Tableau Server Admin 3+ years, Windows Server Admin 5+ years, Windows Engineer 3+ years)
• Advanced analytical SQL 5+ years
• Proven interpersonal skills while contributing to team effort by accomplishing related results as needed

• Familiarity with data sources: Salesforce, Segment, Demandbase, Jira, Gainsight, Smartsheet and API integration expertise
• Windows Server engineering and skilled in Windows Scheduler and Powershell code
• Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work