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Azure Data Engineer

3 months ago

Deerfield Beach, United States Fortune 500 Full time

Azure Data Engineer

Location: Hybrid - Deerfield Beach, FL

Type: Long-Term-Contact / Contract-To-Hire

Sr. Data Engineer will be responsible for developing curated data (data models, data ETL pipelines, views) in a cloud-based environment to support business needs for analytics and reporting. The engineer will assist an existing team with migration from on-prem to a cloud-based data delivery platform and should have experience in migrating environments. The candidate will provide guidance and support for the set-up of the new environment along with best practices and recommendations based on industry and hands-on experience as a data engineer. In addition, the candidate should have experience with standardizing data modeling and design frameworks for analysis, design, building, testing, and maintenance. Cloud-based data engineering is required and experience using the Azure stack is highly preferred and recommended. Candidates must have the technical capabilities to extract, retrieve, and analyze data using SQL-based tools. The engineer should possess strong interpersonal communication skills to bridge the gap between business and technical users to understand and assess requirements and deliver data-driven solutions. The role will also involve adhering to data governance standards and practices along with experience developing in an agile environment using Azure boards or similar tools such as Jira.

Requirement:

  • This candidate must have the ability to develop in Informatica IICS, with Data Center experience.
  • Strong ETL development experience.
  • Complex Problem Solving - identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
  • Programming - Writing computer programs for various purposes.
  • Systems Analysis - Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
  • Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one.
  • Systems Evaluation - Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
  • Critical Thinking - using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
  • Operations Analysis - Analyzing needs and product requirements to create a design.
  • Active listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • Mathematics - using mathematics to solve problems.
  • Speaking - talking to others to convey information effectively.
  • Reading Comprehension - Understanding written sentences and paragraphs in work-related documents.
  • Technology Design - Generating or adapting equipment and technology to serve user needs.
  • Time Management - managing one's own time and ability to work on multiple projects at the same time.
  • Troubleshooting - determining causes of operating errors and deciding what to do about it.
  • Writing - communicating effectively in writing as appropriate for the needs of the audience.