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Advanced Data Engineer
Magnus is seeking experienced Advanced Data Engineers to design, build, and optimize large-scale data pipelines and platforms. This role is ideal for professionals with strong expertise in data engineering, cloud platforms, and modern big data tools.
Responsibilities:
Design, develop, and manage scalable ETL/ELT pipelines for structured and unstructured data
Implement advanced data solutions across cloud platforms (AWS, Azure, or GCP)
Optimize data storage, retrieval, and processing for analytics and machine learning models
Collaborate with Data Scientists, Analysts, and Architects to deliver business insights
Ensure data quality, governance, and security best practices are followed
Monitor, troubleshoot, and improve performance of data systems
Requirements:
Strong experience with Python, SQL, and distributed computing frameworks (Spark, Hadoop)
Proficiency in cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, or similar)
Expertise in ETL/ELT tools (Informatica, Talend, Apache Airflow, etc.)
Knowledge of data modeling, warehousing, and real-time data streaming (Kafka, Kinesis)
Familiarity with DevOps practices and CI/CD pipelines for data engineering
Excellent problem-solving and analytical skills
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Additional Information
| Job Type: | IT Job |
|---|---|
| Work Authorization: | US Citizen, Green Card |
| Employment: | W2-Permanent, W2-Contract, Full Time |
| Functional Area: | IT Software |
| Company Address: | California, USA |
| Job Location: | New York, NY |
| Gender: | Any |
| Qualification: | High School |
| Industry: | IT Software / Services |
| Language: | English |

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