JPS Tech Solutions LLC
Morrisville, NC
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Job Description :

Role: Big Data Solutions Lead Engineer
Location: Paterson, New Jersey
Experience: 12+ Years
Employment: Contract
Interview Type: In-Person or Webcam

Job Overview

We are seeking a highly experienced Big Data Solutions Lead Engineer to design, implement, and manage large-scale data solutions. The ideal candidate will be responsible for leading the architecture, development, and optimization of big data platforms, ensuring they meet business requirements and performance standards. This role requires strong technical expertise, leadership skills, and the ability to drive complex projects from conception to deployment.

Key Responsibilities

  • Lead the design and implementation of end-to-end big data solutions using modern technologies and frameworks.

  • Architect and manage large-scale data processing pipelines, including ETL/ELT workflows, data lakes, and data warehouses.

  • Ensure data quality, security, and governance standards are maintained across all platforms.

  • Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions.

  • Evaluate, select, and implement big data tools, technologies, and frameworks to optimize performance and efficiency.

  • Mentor and guide technical teams, providing best practices and solutions for complex data challenges.

  • Troubleshoot and resolve performance issues in existing big data infrastructure.

  • Develop and maintain documentation for data architecture, processes, and standards.

  • Stay current with emerging trends and technologies in big data, analytics, and cloud platforms.

Required Skills and Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

  • Experience: Minimum 12 years of professional experience in big data engineering, including hands-on experience with large-scale data platforms.

  • Technical Skills:

    • Expertise in big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, or similar.

    • Proficient in programming languages like Java, Scala, or Python.

    • Experience with cloud platforms such as AWS, Azure, or GCP, and cloud-based data services.

    • Strong knowledge of data modeling, ETL/ELT processes, and data warehousing concepts.

    • Familiarity with data governance, data security, and compliance requirements.

  • Soft Skills:

    • Strong problem-solving and analytical skills.

    • Excellent leadership and team management capabilities.

    • Effective communication skills for collaborating with technical and non-technical stakeholders.

    • Ability to manage multiple priorities and projects in a fast-paced environment.

             

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