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Cloud Data Engineer

14 hours ago

Wilmington, Delaware, United States Jobs via Dice Full time

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Bright Sol, is seeking the following. Apply via Dice today

Cloud Data Engineer /Big Data Engineer
Onsite - Wilmington, DE (5 Days Onsite)
Rate Upto $55/hr on C2C
Primary Skill Set: AWS, Java, Python and Big Data experience, Snowflake, Databricks
Job Summary:
We are seeking an experienced Cloud Data Engineer / Big Data Engineer to design, build, and maintain scalable data platforms and services in a cloud-first environment. The ideal candidate will have strong hands-on experience with AWS, Java, Python, and Big Data technologies, and will play a key role in modernizing data pipelines, migrating legacy ETL workloads to the cloud, and ensuring high-quality, reliable data assets across the enterprise.

This role requires a blend of data engineering expertise, software development discipline, and production-grade system ownership.

Key Responsibilities
Acquire, ingest, and manage data from multiple source systems and storage platforms.

Design, develop, and modernize data pipelines by transforming existing ETL logic to AWS, Databricks, or equivalent cloud platforms.

Build and enhance data services and components using Java and Python, applying object-oriented and functional programming principles.

Design and implement scalable, reliable, and high-performance data processing solutions for batch and real-time workloads.

Establish and enforce standards and best practices to ensure data consistency, quality, and completeness across data assets.

Perform end-to-end software development including design, coding, testing, deployment, and technical troubleshooting.

Write secure, efficient, and maintainable code with a strong focus on performance and operational stability.

Analyze upstream and downstream system dependencies and assess technical impact during development and production support.

Leverage SDLC tools and automation (CI/CD, version control, testing frameworks) to improve delivery speed and reliability.

Collaborate closely with architects, product owners, data analysts, and operations teams to deliver high-quality solutions.

Support production environments by monitoring, troubleshooting, and resolving data and system issues.

Thanks
Navya