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ETL Data Engineer in Chicago at Revolution Technologies

Date Posted: 11/15/2018

Job Snapshot

Job Description

Successful candidate must have good prior experience with big data architecture in HADOOP environment and knowledge of tools used. Needs to be able to communicate/collaborate/consult with existing data team members to help pave path for a future state of the data project. 

•         The Data Engineer creates and enhances data solutions enabling seamless delivery of data.

•         This position is responsible for collecting, parsing, managing and analyzing large sets of data across different domains for analysis.

•         This role designs and develops data pipelines (data ingestion and ETL processes) that are scalable, repeatable and secure for stakeholder needs.

•         This role operates under minimal supervision and has no direct reports.

Principal Duties and Responsibilities - Data Management

•         Assists in creating the data management strategies to support business intelligence efforts for various stakeholders

•         Builds out data architecture to support data strategy

•         Leads the design of the logical data model and implements the physical database structure

•         Constructs and implements operational data stores and data marts

•         Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution Data Pipeline Management

•         Develops real-time and batch ETL data processes aligned with business needs

•         Manages and augments the data pipeline from raw OLTP databases to data solution structures

•         Documents data flow diagrams, security access, data quality and data availability across all business systems 

The successful candidate will be working with a team focused on business intelligence and data science using data modeling ETL Data Query.

•         Must have proven Teamwork Collaboration Self Starter Critical thinking skills.

•         Adaptability, and proven Communication skills.

•         Responsibilities include Big Data Warehouse design, Data Management Program design, Technical adaptability to new big data tools/environment

Job Requirements

Knowledge and Skills

• Knowledge of data warehouse technical architectures and ETL/ELT processes

• Knowledge of scripting languages

• Knowledge and proven understanding of big data tools and software

• Critical thinking and decision-making abilities

• Possesses strong written and verbal communication skills

• Demonstrates excellent customer service skills

• Excellent attention to detail Education and Experience

• Bachelor's degree in Computer Science, related field or equivalent experience

• One or more years of relevant work experience