Data Engineer
Analytics
Big Data
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Management
Data Pipeline
Data Platform
Data Processing
Data Quality Services
Data Security
Data Visualization
Data Warehouse
Database
Databases
Datastage
Design
Digital Marketing
ETL
Informatica
Information Technology (IT)
Integration
Programming
Programming Language
Programming Languages
Reporting and Analytics
SQL
Visual Design
Job Description
Design and develop data integration pipelines that turn business needs into reliable data lake and data warehouse solutions.
Responsibilities
- Develop data pipelines to integrate and transform data for analysis
- Develop and sequence jobs and processes to move transformed data into data lake and data warehouse
- Perform data profiling to understand source data characteristics and downstream impacts
- Create and maintain data documentation
- Measure and enforce data quality, including manual verification and development of automated data quality tests
- Develop data models to represent business information
- Support applied use of data through exploratory analysis and applied analytics work
- Support scheduling, alerts, and ongoing use of data products and insights
- Support analytic projects and data extracts to test and prove capabilities and evaluate usability
- Demonstrate how analysts can use data to meet defined objectives
- Run business meetings to understand data and business needs, capture agreement on business rules, and generate consensus on data product direction
- Learn new technical concepts and software languages as needed
- Provide support to other data users to enable solutions to business problems
- Perform other duties as assigned
Requirements
- Bachelor’s degree in Computer Science, Computer Information Systems, or a business degree with focus on data transformation or analysis; or equivalent work experience
- Basic understanding of programming design and coding techniques
- Familiarity with the systems development life cycle
- Understanding of database technologies and query semantics
- Experience with public cloud database technology, including one or more of: RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery
- Experience programming in ETL or ELT technology
- Understanding of data warehouse data model theory and techniques
- Experience with Python
- Minimum 2+ years professional experience developing software to solve business problems
- Experience with data engineering system design and software implementation
- Experience with all parts of the systems development life cycle
- Experience leading and coordinating technical initiatives
Technologies
- RedShift
- SnowFlake
- DataBricks
- Azure Synapse
- BigQuery
- ETL
- ELT
- Python
Location & Work Setup
- Cleveland, OH (hybrid)
- Hybrid position with three-day per week onsite requirement
- Candidates must be located in the Cleveland/Brooklyn area
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