Data Engineer

Description

The Data Analyst will be a key part of the Enterprise Data Services team, which is responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. Specifically, this role will support a multi-year project to migrate legacy data jobs and reports owned by business areas across the company to cloud-based technology solutions and modern data tools. You will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business teams. You will analyze, classify, migrate or redesign data jobs/reports into modern data tools, using Agile methodology, that empower users to make informed business decisions. Progress will be documented and validated against current report outputs. [Note: Delta IT works in a rotating hybrid schedule with 2-3 days in the office per week – full remote work is not authorized]. *This is an entry-level position, and we welcome applications from recent graduates or individuals with limited data analysis experience.*



Candidate

You are self-motivated, work independently, and have a strong desire to gain experience in data tools, data analysis, data engineering, data consulting, etc. Strong candidates will exhibit critical thinking skills, the ability to break down technical problems, and a desire to help transforming data to create solutions that add value to business requirements.



You have the commitment to take ownership of assigned technical projects in a fast-paced environment. You are comfortable in written and speaking communication skills as we work in a collaborative cross-functional environment and interact with the full spectrum of business divisions. You demonstrate unsatiated curiosity and engaging interpersonal “soft” skills. Ideal candidates have more than just knowledge or skill set, as they also have a “can do” mindset to find solutions and learn what is needed.

Responsibilities

• • Bachelor of Science degree in Computer Science or equivalent
• • At least some post-degree professional experience
• • Strongly preferred experience in data analysis to create, publish, and/or manage reports and data visualizations in Tableau, PowerBI, AWS Quicksight, or AWS DataZone (i.e., our target solutions)
• • Knowledge of the best practices in building and preparing data for analytics, including data prep, semantic data models
• • Strong knowledge with database technologies and data development such as Python, PLSQL, etc.
• • Understanding how to build and modify data queries/applications, including performance tuning
• • Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.)
• • Basic understanding of performing test cases for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment
• • Comprehension of best practices for data ingestion and data design
• • Familiar with best practices for data ingestion and data design