Why This Role Stands Out
This hybrid Data Engineer role at SmartIT Frame offers exciting opportunities to build resilient data pipelines and leverage cutting-edge cloud technologies, fostering significant career growth. You'll thrive here if you possess strong SQL and programming skills, enjoy tackling large-scale data challenges, and are eager to contribute to innovative projects within a collaborative environment. Embrace this chance to expand your expertise and make a real impact.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Newark, NJ, United States
Posted
Yesterday
SQLScalaAWSETLAirflowAzureJavaKafkaPython
Job Description
Role - Data Engineer
Location: Newark, NJ
Required Qualifications
- Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field
- 5+ years of Data Engineering / ETL / ELT experience
- Experience handling large-volume data processing in distributed or cloud environments
- Strong SQL expertise
- Programming experience in Python, Java, Scala, or Spark SQL
- Experience with Airflow, Azure Data Factory, or AWS Step Functions
- Knowledge of Data Warehouses, Data Lakes, Relational & NoSQL Databases
- Experience designing resilient pipelines with monitoring, logging, retry mechanisms, and failure recovery
Preferred Skills
- AWS Cloud Platform
- AWS Lambda
- Kafka
- Data Modeling
- Metadata Management
- Data Governance & MDM
- CI/CD Pipelines
- Infrastructure as Code
- Experience within highly regulated industries (Financial Services, Healthcare, etc.)
Environment
- Cloud Storage & Data Lakes
- Data Warehouses
- Streaming Platforms
- APIs
- Automated Testing
- Observability & Monitoring Tools
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