DATA - Cloud Data Engineer Lead - Hybrid Chicago area

Lisle, IL


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Type: Direct-Hire

Category: Information Technology

Salary: 130000.00

Reference ID: 556690

Start Date: 11/11/2022

Shortcut: http://careers.addisongroup.com/4rYsRq


Cloud Data Engineer Lead 
up to $126K, plus bonus
 

The Ideal Candidate Possesses the Following Qualities:

• Strong quantitative and logical thinking skills combined with the ability to think creatively, envision relationships between data, and communicate those findings to key decision makers.
• Proven technical capabilities for developing, implementing and tuning cloud data structures used within modern BI systems and platforms.
• Demonstrated ability to quickly learn and understand new software products and concepts, including ability to self-instruct using available texts and other resources.
• Excellent organizational skills with emphasis on ability to organize tasks, manage multiple projects, create and maintain documentation, prioritize work and meet deadlines with minimal direct supervision.
• Excellent communication and interpersonal skills; ability to interact across multiple departments and levels within a medium to large size enterprise.
• Ability to work independently or with minimal instruction.

Professional and Technical Responsibilities Include:

• Identifying, creating, preparing data required for modern BI solutions.
• Designing, coding and testing data repositories needed to support software modules/applications.
• Building BI solutions using existed cloud provided services.
• Creating and documenting the tests to meet requirements.
• Deploying BI solutions into cloud environments and integrating them with other components in the application.
• Maintaining, tuning and adapting applications to keep them performing to specifications.
• Work with data from all business disciplines (Materials, Customers, Vendors …) at all business levels (local, regional, corporate).
• Work with people from all business disciplines (Supply Chain, Sales, Operations, IT, …) at all business levels (local, regional, corporate). This includes outside technical consultants when appropriate.
• Gather and document requirements for projects and reports as well as generate business user training materials including direct communication with internal and external stakeholders.
• Actively participate in the data collection, testing and validation for newly created and existing data sources as well as facilitate the data quality scorecards for same.
• All other duties as they are assigned.


 

Position Requirements:
• Bachelor’s or Master’s degree in Computer Science, Analytics or Information Technology / Systems strongly preferred; degrees in quantitative majors such as Statistics, Applied Mathematics, Industrial Engineering, Supply Chain, Economics, Accounting, Finance or similar will be considered.
• Five (5) or more years of relevant technical or highly analytic business experience, with two (2) or more years in leading role supporting Cloud Data development.
• Experience in data engineering and cloud data processing services (AWS, Azure and/or Google Cloud Platform).
• Knowledge of SQL, Python, and other similar languages is preferable.
• Good understanding of ETL tools and related data movement concepts.
• Advanced level abilities in ad hoc analysis tools such as Microsoft Excel, including knowledge of pivot tables, v-lookups, and query writing to collect, transform and evaluate data to provide actionable information.
• Interest or experience in Big Data technologies (Hadoop, Spark, Data Bricks, Snowflake).
• Open mindset, ability to quickly adapt new technologies and learn new practice.

 

 

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