Data Engineer with Mongo DB

Location: Charlotte, NC
Salary: $100,000.00 USD Annually - $110,000.00 USD Annually
Description:
Title: Data Engineer with Mongo DB
Location: Charlotte, NC
Onsite Job

This job will have the following responsibilities:

• Building and maintaining robust ETL/ELT (Extract, Transform, Load) pipelines for ingesting, transforming, and loading structured and unstructured data from diverse sources into MongoDB and other data platforms.
• Optimizing MongoDB queries, aggregation pipelines, and overall database performance to ensure efficient data processing and retrieval.
• Ensuring data integrity, quality, and security by implementing appropriate validation, monitoring, access controls, and encryption measures within MongoDB and related systems.
• Working closely with application developers, data scientists, data analysts, and DevOps teams to understand data requirements, integrate MongoDB with other systems and cloud services (e.g., Google Cloud Platform, AWS, Azure), and support data-driven applications.
• Monitoring data pipeline performance, troubleshooting issues, and implementing solutions to ensure data reliability and availability.
• Creating and maintaining documentation for data pipelines, database schemas, and data engineering processes.

Qualifications & Requirements:

• In-depth knowledge of MongoDB's features, including document modeling, aggregation framework, indexing, sharding, and administration.
• Strong programming skills in languages like Python, Java, or Node.js, particularly with MongoDB drivers and related libraries.
• Experience with data pipeline tools and technologies such as Apache Spark, Airflow, Kafka, or cloud-native data services.
• Familiarity with cloud platforms (e.g., Google Cloud Platform, AWS, Azure) and their data-related services.
• Ability to design efficient and scalable data models for NoSQL databases.
• Strong aptitude for troubleshooting data-related issues and optimizing data systems.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

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