Data Engineer
HAN IT STAFFING, INC.
Woodbridge Township, NJ, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$149,760.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Amazon S3
Batch Processing
Big Data
Cloud Computing Security
Cloud Engineering
Cloud Storage
Extract Transform Load (ETL)
Data Systems
Identity and Access Management
Python (Programming Language)
+13 more
Performance Tuning
Query Optimization
SQL Databases
Sql Optimization
Pyspark
AWS Glue
AWS Data Analytics
Apache Kafka
Spark Streaming
Data Management
Data Pipelines
Jenkins
Databricks
Job description
- Data Pipelines - Build and maintain scalable ingestion and ETL pipelines on AWS.
- AWS Data Services - Work with S3, Redshift, Glue, Lambda, and Databricks for batch processing.
- SQL Engineering - Write optimized SQL for large datasets and analytical workloads.
- Cloud Architecture - Design secure, high performance data solutions using IAM best practices.
- Data Quality - Ensure accuracy, consistency, and governance across data platforms.
- Collaboration - Work with cross functional teams in Agile environments.
Requirements
- Advanced SQL - Query tuning, performance optimization
- AWS S3/Redshift - Strong experience with cloud storage warehouse
- AWS Glue - ETL development, job orchestration
- Databricks - Spark based transformations and pipelines
- Python/PySpark - Hands on programming for large scale data processing
- IAM & Security - Strong understanding of roles, policies, and cloud security
- DevOps - Jenkins/GitLab CI/CD pipelines
- Agile - Experience with Agile delivery frameworks
P Nice to Have
- Kafka/Spark Streaming - Real time ingestion
- DBT - Data modeling & transformations
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