
Lavoro Python a distanza a pittsburgh ∙ Pagina 2
100 Lavori a distanza e a domicilio online






Hybrid Laboratory Research Technician II - Das Lab
University of Pittsburgh · Pittsburgh, Stati Uniti d'America · Hybrid

Hybrid Cloud Operations Engineer - Database Infrastructure Specialist (d/f/m)
Smart Reporting · Pittsburgh, Stati Uniti d'America · Hybrid

Homeoffice Data Engineer, Athletics
University of Pittsburgh · Pittsburgh, Stati Uniti d'America · Remote


Hybrid Azure Cloud Solutions Architect
Innovative Systems · Pittsburgh, Stati Uniti d'America · Hybrid


Hybrid DBA/Datawarehouse Architect
University Health Sciences / SVC HS Information Technology · Pittsburgh, Stati Uniti d'America · Hybrid

Hybrid Sr Technical Program Manager - Medical Technology
Capgemini · Pittsburgh, Stati Uniti d'America · Hybrid

Hybrid Senior Linux Software Systems Engineer
Latitude AI · Pittsburgh, Stati Uniti d'America · Hybrid

Hybrid Software Engineer II, Test Automation Engineering
Aurora Innovation · Pittsburgh, Stati Uniti d'America · Hybrid

Hybrid Research Scientist – Multi-modal Sensing AI
Bosch Group · Pittsburgh, Stati Uniti d'America · Hybrid

Hybrid Data Engineer, Athletics
University of Pittsburgh · Pittsburgh, Stati Uniti d'America · Hybrid

Hybrid Staff Software Engineer, Onboard Infrastructure
Stack AV · Pittsburgh, Stati Uniti d'America · Hybrid

Senior Data Engineer
Qode World · Pittsburgh, Stati Uniti d'America · Hybrid
- Senior
- Ufficio in Pittsburgh
- 10+ Years experience working in Data Engineering and Data Analysis.
- Hands on Experience in Hadoop Stack of Technologies ( Hadoop ,PySpark, HBase, Hive , Pig , Sqoop, Scala ,Flume, HDFS , Map Reduce).
- Hands on experience with Python & Kafka .
- Good understanding of Database concepts , Data Design , Data Modeling and ETL.
- Hands on in analyzing, designing, and coding ETL programs which involves Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data Normalization & Data Loading.
- Working experience in delivering projects in Agile Methodology and hands on in Jira.
- Experience in Client Facing Roles with good communication & thought leadership skills to co-ordinate deliverables across the SDLC .
- Good understanding of Machine Learning Models and Artificial Intelligence preferred.
- Good understanding of Data Components , Data Processing & Data Analytics on AWS is good to have .
- Experience with data modeling tools like Erwin is good to have.
- Master's/bachelor’s in computer science or equivalent fields