Data Engineering Analyst (Consultant)

Overview

We are looking for Data Engineering Analyst (Consultant) having 4-5 Years of experience. 

Job Description

Roles and responsibilities
● Participate in all data related aspects of the consulting engagement life cycle,
including discovery, implementation, measurement, and continuous improvements.
● Load, analyze, and profile data received to understand what needs to be addressed
via transformations and what needs additional involvement from the client.
● Design a data mart solution that will meet the data needs for discovery and
implementation, while planning for longer term supporting needs of measurement
and continuous improvements.
● Load the data into our proprietary Measurement tool
● Make the data available to the delivery team including Data Science Group and Profit
Realization team
● Design inbound data merges for data refreshes
● Automate the full process to ensure it is repeatable, contains validation and proper
notification/monitoring.
● Design and automate data pipelines into:
○ Cloud hosted client facing dashboards.
○ Modeling extracts for Continuous Improvement Models
○ Services and Drive applications for online models and client facing interfaces.
● Support ongoing delivery team data requests and additional automations.
● Troubleshoot production issues that maybe related to unexpected client data, bugs,
or technical issues.
Required
● Experience with our data pipeline and workflow management tools - Azure Data
Factory, Azure Databricks, Azure SQL, SQL Server
● Experience with Python generally and PySpark specifically
● Bachelor’s degree in Computer Science or related field, or equivalent experience
working as a Database developer, ETL Developer, BI Developer or similar role.
● Experience performing root cause analysis on internal and external data and
processes to answer specific business questions and identify opportunities for
improvement.
● Build processes supporting data transformation, data structures, metadata,
dependency, and workload management.
● A successful history of manipulating, processing and extracting value from large,
disconnected datasets.
● Ability to communicate effectively with both technical and non-technical audiences.
● Ability to work autonomously as well as part of a team.
● Exceptional work ethic, judgment, business acumen, attention to detail, analytical
skills, and problem-solving skills with the ability to make informed decisions.
● Excellent verbal and written communication skills with the ability to simplify technical
concepts and present to senior-level executives.
● Results-driven and thrives in a fast-paced environment

Skills & Requirements

Apply Now