Create Markdown: Data Engineer (DevOps)

[tan-zhou]

Overview

We need a Markdown file for the Data Engineer (DevOps) role to support the HfLA website and onboarding.

Action Items

• [x] Format the Markdown text in the comment from the corresponding role description document
• [x] Create a Markdown file
• [x] Check the box of this role in issue #99

  Close this issue after all the boxes are checked

  Resources/Instructions

[tan-zhou]

Data Engineer(DevOps)

This team member will be responsible for developing data pipelines to clean, transform, and process data. They will ensure data integration between systems, including deployment of machine-learning pipelines where necessary.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Basic Qualifications

• Working SQL knowledge (or interest) and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience or interest building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience or interest performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytical skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• An interest in manipulating, processing and extracting value from large disconnected datasets.
• Strong project management and organizational skills.
• Experience or interest in/with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.