Data Engineer with Mongo DB

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Location : CharlotteNC ;PlanoTX;

Must Have Technical/Functional Skills

Primary Skill: Data Engineer

Secondary: Mongo DB

Experience: Minimum 10 years

Key Responsibilities:

MongoDB Database Management:

Designing implementing and managing MongoDB database architectures including schema design indexing replication sharding and performance optimization for large-scale data.

Data Pipeline Development:

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.

Performance Optimization:

Optimizing MongoDB queries aggregation pipelines and overall database performance to ensure efficient data processing and retrieval.

Data Integrity and Security:

Ensuring data integrity quality and security by implementing appropriate validation monitoring access controls and encryption measures within MongoDB and related systems.

Collaboration and Integration:

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. GCP AWS Azure) and support data-driven applications.

Troubleshooting and Monitoring:

Monitoring data pipeline performance troubleshooting issues and implementing solutions to ensure data reliability and availability.

Documentation:

Creating and maintaining documentation for data pipelines database schemas and data engineering processes.

Required Skills and Qualifications:

Strong MongoDB Expertise:

In-depth knowledge of MongoDBs features including document modeling aggregation framework indexing sharding and administration.

Programming Proficiency:

Strong programming skills in languages like Python Java or particularly with MongoDB drivers and related libraries.

Data Pipeline Tools:

Experience with data pipeline tools and technologies such as Apache Spark Airflow Kafka or cloud-native data services.

Cloud Platform Experience:

Familiarity with cloud platforms (e.g. Google Cloud Platform AWS Azure) and their data-related services.

Data Modeling and Design:

Ability to design efficient and scalable data models for NoSQL databases.

Problem-Solving and Analytical Skills:

Strong aptitude for troubleshooting data-related issues and optimizing data systems.

Communication and Teamwork:

Excellent communication and collaboration skills to work effectively with cross-functional teams.

Domain Knowledge: Banking and Payments

Salary :00/Per Annum

Location : CharlotteNC ;PlanoTX; Must Have Technical/Functional Skills Primary Skill: Data Engineer Secondary: Mongo DB Experience: Minimum 10 years Key Responsibilities: MongoDB Database Management: Designing implementing and managing MongoDB database architectures including sche...