|
Search Jobvertise Jobs
|
Jobvertise
|
"Data Engineer" Location: US-PA-Linden Jobcode: 84be10365e11811e719fa7aca56867fa-122020 Email Job
| Report Job
Job Description:
Role: Senior Data Engineer
Location: Pittsburgh, PA
Job type: FTE/Permanent
Responsibilities
- Engineering solutions to aggregate and automate large-scale data flows from varying sources
- Working as part of a cross-functional team (Product, Data Science and Data Integration) to build scalable data solutions
- Work with product owners in an agile environment to analyze requirements and translate them into functioning software
- Provide mentoring to and collaboration with other team members
- Provide technical leadership to more junior team members
Qualifications
- Bachelor’s degree in Computer Science, Engineering, related quantitative fields, or equivalent experience
- 5-10 years of experience as a Data Engineer or in a related field (i.e., Business Intelligence Engineer, Data Warehouse Developer, Data Scientist, etc.) with a strong track record of working with large datasets
- Expertise in data modeling, ETL development, and data warehousing plus hands-on experience with different data warehouse and processing technologies such as AWS Redshift, Oracle, PostgreSQL, Hadoop, Spark, etc.
- Hands-on experience with cloud computing and Linux-based systems
- Demonstrable skills and experience using SQL with large data sets (e.g., Oracle, SQL Server, Redshift)
- Proven track record of successful communication of data infrastructure, data models, and data engineering solutions through written communication, including an ability to effectively communicate with both business and technical teams
- Shows curiosity and an ability to learn quickly, especially new technology and processes
- Approaches all work with a team-based/collaborative orientation
Bonus Points
- Master’s degree in Computer Science, Engineering, or related quantitative fields
- Experience with AWS technologies Redshift, RDS, S3
- Experience with reporting tools like Tableau, Excel, or other BI packages
- Familiarity with statistical models and data mining algorithms
- Experience with ETL tools including Pentaho, Talend, or Informatica
E Business International
|