Data Engineer

6 days ago

Frisco, United States Comerica Full time
Data Engineer II Job Description

A Data Engineer II plays a crucial role in designing and maintaining moderate to advanced data models, working closely with Information Architects, Engineers, Data Scientists, and other stakeholders.

The ideal candidate will have a strong background in data architecture and experience with extracting, transforming, and loading data sets of various sizes using programming languages such as Python or SQL.

Key Responsibilities:
  • Design, implement, and operate medium to large-scale, high-volume, high-performance data structures for reporting, analytics, and data science.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Implement data ingestion routines both real-time and batch using best practices in data modeling, ETL/ELT processes by leveraging big data tools.
  • Create data products for analytics and Data Scientist team members to improve their productivity.
  • Document and test moderate data systems that bring together data from disparate sources, making it available to Data Scientists and other users using scripting and/or programming languages.
  • Design, develop, and build real-time data pipelines from a variety of sources (streaming data, APIs, data warehouse, messages, etc.).
  • Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof software.
  • Manage existing pipelines and create new pipelines from a variety of sources (relational, XML, etc.).
  • Design and build solutions to track data quality, stabilize data pipeline, etc. to ensure reliable operations.
  • Document and test data processes including performance of through data validation and verification.
Requirements:
  • Bachelor's Degree in computer science, engineering, or in a technology-related field OR equivalent through a combination of education and/or technology experience OR 12 years of technology experience.
  • 5 years of Experience in Data Engineering, BI Engineering, or related field in architecting and developing end-to-end scalable data applications and data pipelines.
  • 5 years of Experience in extracting, transforming/manipulating, and loading data sets of various sizes using programming (e.g., Python) or querying languages (SQL).
  • 5 years of Working knowledge of different databases (e.g., SQL & NoSQL) and available cloud technologies to leverage (e.g., AWS, Azure).
  • 5 years of Experience coding with modern programming or scripting language (Python, Scala, Java).
  • 4 years of Experience in data strategy and road map exercises, data warehouse design and implementation.
  • 4 years of Experience developing strong collaborative relationships with key partners in data engineering, business intelligence, software development, finance, modeling, and product teams.
  • 3 years of Experience working with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, and testing.
Preferred Qualifications:
  • Amazon Web Services (AWS) Certified Data Analytics.
Work Environment:

Category C - Days in the office will either be designated days or will vary week to week from 2-5 days.

8:00am - 5:00pm Monday - Friday.

To Be Determined Based on Individual Experience.

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