Senior Data Engineer (AWS | Python | Data Platform)
Dyne IT Services LLC
Irvine, CA, United States
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$140,000 - $180,000
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Agile Methodology
Amazon Web Services
Data Analysis
Bash Shell
Big Data
Cloud Database
Information Engineering
Data Infrastructure
Extract Transform Load (ETL)
Data Warehousing
Database Design
+17 more
Dimensional Modeling
Apache Hadoop
Apache Hive
Python (Programming Language)
Linked Data
Microsoft SQL Server
Oracle (Applications)
Azure Data Lake
Shell Script
Software Engineering
SQL Databases
Cloud Platform System
Informatica Powercenter
Apache Spark
Data Management
Restful APIs
Looker Analytics
Job description
- Design, develop, and maintain data engineering solutions, including ETL (extract, transform, load) pipelines, data warehouses, and cloud databases.
- Build and optimize big data systems using AWS, Python, Spark, Hadoop, Apache Hive, and SQL; apply Java or Bash and shell scripting where appropriate.
- Create data models, dimensional models, and database designs across SQL databases such as Microsoft SQL Server and Oracle; support linked data and query management.
- Integrate data with RESTful APIs and tools such as Informatica, Looker, and Azure Data Lake; strengthen data management integration and public cloud practices.
- Collaborate in Agile software development, applying analysis skills to analytics and business intelligence tools, and supporting model training as needed. Your impact: Well-designed pipelines and models help teams make informed decisions with consistent, accessible data.
Requirements
- Hands-on data engineering experience with AWS, Python, SQL, ETL pipeline development, and data warehousing design.
- Knowledge of big data, data warehouse architecture, Spark, Hadoop, Apache Hive, and cloud-based data platforms.
- Familiarity with data modeling, dimensional modeling, database design, SQL databases, and query management.
- Experience with Java, Microsoft SQL Server, Oracle, Informatica, Looker, Azure Data Lake, RESTful APIs, or linked data is useful; not every tool is required.
- Understanding of Agile methods, software development, shell scripting, business intelligence tools, and analytics.
Benefits & conditions
- 401(k)
- Flexible schedule
- Parental leave
- Retirement plan
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