DATA WAREHOUSE MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: Oct 14, 2024 – The Data Warehouse Manager has experience managing teams and designing modern databases such as MySQL, Postgres, and Snowflake, with a strong focus on SQL optimization and ETL solution design. This role requires proficiency in Agile methodologies and translating business requirements into technical designs while collaborating with management on effort estimation and timelines. The manager also knows about AWS services (RDS, S3, Lambda) and Python, with strong leadership and communication skills.

Essential Hard and Soft Skills for a Standout Data Warehouse Manager Resume
  • Data Modeling
  • ETL Processes
  • SQL
  • Data Warehousing Architecture
  • BI Tools
  • Cloud Platforms
  • Data Governance
  • Performance Tuning
  • Data Integration
  • Database Management
  • Leadership
  • Problem-Solving
  • Communication
  • Project Management
  • Team Collaboration
  • Analytical Thinking
  • Attention to Detail
  • Adaptability
  • Time Management
  • Critical Thinking

Summary of Data Warehouse Manager Knowledge and Qualifications on Resume

1. BS in Information Technology with 4 years of Experience

  • Working experience in the cybersecurity field
  • Knowledge of Agile methodology
  • Strong negotiation and persuasion skills
  • Experience providing production and operational support for deployed solutions
  • Knowledge of cloud data warehouse implementation
  • Knowledge of various programming languages (e.g., C, C#, .NET, etc.)
  • Knowledge of various scripting languages (e.g., Python, Perl, Ruby, etc.)
  • Knowledge of various databases (e.g. MS-SQL, Oracle, etc.)
  • Knowledge of business intelligence tools and metric development
  • Knowledge of data warehousing approaches

2. BS in Computer Science with 5 Years of Experience

  • Multidimensional database architecture and design experience
  • Knowledge of automation and orchestration technologies
  • Experience with CI/CD pipelines for code deployment
  • Experience in the Financial Services industry
  • Knowledge of various platforms (e.g. Windows, Linux, etc.)
  • Knowledge of various database security tools (e.g. activity monitoring, etc.)
  • Knowledge of emerging technologies (e.g. mobile, cloud, etc.)
  • General information security certification (e.g. CISSP, CISM, etc.)
  • Ability to communicate technical information in understandable business terms
  • Ability to work in a team environment, as well as independently

3. BS in Management Information Systems with 8 years of Experience

  • Experience leading data warehouse development teams
  • Demonstrate data warehousing and business intelligence experience
  • Working experience with MS SQL Server (v. 2012 and above)
  • Experience managing software development lifecycle projects (Agile, DevOps, etc.)
  • Experience with data architecture, metadata, master data management, etc.
  • Familiarity with business intelligence reporting tools (Tableau, SAP BusinessObjects, SSRS, etc.)
  • Experience using technologies to foster (Teams, Slack, SharePoint, JIRA, Confluence)
  • Ability to manage business expectations and deliver customer-focused solutions
  • Strong analytical, organizational skills, and time management skills
  • Experience translating requirements into pragmatic, implementable solutions
  • Ability to develop enduring thought-partner relationships with operational leaders
  • Certification in MS-SQL Server, Cloud technology (either MS-Azure or AWS), Epic Cogito, and Agile.

4. BS in Database Management with 6 years of Experience

  • Working experience in software development, infrastructure, and project delivery
  • Experience with agile software development methodologies
  • Knowledge of ETL Tools and best practices in design
  • Providing coaching and mentoring to team members
  • Capable of balancing immediate operational needs while making progress toward long-term engineering goals
  • Insurance industry background
  • Able to manage multiple projects and teams simultaneously
  • Strong organization, presentation, and communication skills
  • Solid understanding of database/ETL development lifecycle and structures
  • Solid understanding of Azure or Cloud technologies
  • Strong foundation in ITIL knowledge or certification

5. BS in Data Analytics with 7 years of Experience

  • Industry experience and experience managing a team
  • Exceptional knowledge in designing modern Databases such as MySQL, Postgres, Redshift, Snowflake, Hive, or Presto.
  • Good experience working on Agile-based projects.
  • Experience in understanding and converting BRDs into technical designs.
  • Work with management to provide effort, estimation and timelines. 
  • Exceptional knowledge in SQL and in designing tables, databases, partitions and query optimization. 
  • Good experience in designing ETL solutions in tools
  • Experience working on AWS Cloud
  • Have good exposure to AWS Services such as RDS, Aurora, S3, Lambda, Glue, EMR, Step Functions, etc. 
  • Good to have Python and big data knowledge
  • Leadership skills, excellent communication skills, ability to own tasks
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