Senior Data Engineer Python, Hadoop & SQL Expert - Hybrid
- +2
- +5
- Pennsylvania, United States
- +2
- +5
- Pennsylvania, United States
À propos
Description
P2-C3-TSTS
Job Title: Senior Data Engineer
Location:
Hybrid from Pittsburgh, PA
Note:
No agencies or contract only requests W2 employment
We are seeking a
Senior Data Engineer
to drive key initiatives in data pipeline development, data quality (DQ) engineering, data observability, and business intelligence (BI) dashboard support. This role will be instrumental in building and optimizing scalable, high-performance data solutions that support our
Data Fabric
strategy.
Key Responsibilities:
Design, develop, and optimize reliable data pipelines to support
Data Fabric
initiatives.
Automate data ingestion, transformation, and processing workflows.
Integrate data sources across multiple platforms for seamless access and sharing.
Collaborate with data scientists, analysts, engineers, and business teams to translate requirements into scalable solutions.
Conduct rigorous data testing to ensure pipeline functionality, accuracy, and reliability.
Required Skills & Experience:
PySpark / Python
Hadoop
Oracle SQL
Data Science background
Preferred Skills:
Experience with
Anti-Money Laundering (AML)
#SeniorDataEngineer
#DataEngineering
#BigData
#DataPipelines
#PySpark
#Hadoop
#OracleSQL
#ETLDevelopment
#DataScience
#BusinessIntelligence
#DataQuality
#DataAutomation
#AMLCompliance
#PhiladelphiaJobs
#HybridJobs
Compétences idéales
- PySpark
- Python
- Hadoop
- Oracle SQL
- Data Science
Expérience professionnelle
- Data Engineer
- Data Infrastructure
Compétences linguistiques
- English