Overview:

We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

Responsibilities

Data Pipeline Development

Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.

Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.

Implement data validation and quality checks to ensure accuracy and consistency.

Data Modeling and Architecture

Design and maintain data models, schemas, and database structures to support analytical and operational use cases.

Optimize data storage and retrieval mechanisms for performance and scalability.

Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.

Data Integration and API Development

Build and maintain integrations with internal and external data sources and APIs.

Implement RESTful APIs and web services for data access and consumption.

Ensure compatibility and interoperability between different systems and platforms.

Data Infrastructure Management

Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks.

Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.

Implement data security controls and access management policies to protect sensitive information.

Collaboration and Documentation

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions.