Big Data Engineer with Advanced Analytics Expertise

4 weeks ago

Washington, Washington, D.C., United States Ninja Analytics Full time

We are seeking an experienced Big Data Engineer to join our team at Ninja Analytics. As a key member of our data engineering team, you will be responsible for designing, implementing, and maintaining large-scale data processing systems.

Your primary focus will be on developing scalable, robust, and high-performance data pipelines and storage solutions using big data technologies such as Hadoop, Spark, Kafka, and Hive. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure supports business needs and enables advanced analytics and data-driven decision-making.

Key Responsibilities:

  • Data Architecture and Design
  • Design and develop scalable, robust, and high-performance data pipelines and storage solutions.
  • Architect and implement data models and schemas optimized for performance and scalability.

Technical Requirements

  • Strong experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, Hive).
  • Proficiency in programming languages such as Java, Scala, C+, or Python.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
  • Knowledge of database systems, both SQL and NoSQL.

Nice to Have Skills

  • Implement and maintain ElasticSearch clusters, ensuring data availability, reliability, and consistency across distributed environments.
  • Integrate ElasticSearch with other big data tools and frameworks to streamline data processing pipelines.

About the Role

The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field and proven experience as a Big Data Engineer or in a similar role. The salary for this position is estimated to be around $120,000 per year, depending on location and experience. Benefits include competitive wages, paid time off and holidays, health and welfare benefits, and a comfortable, orderly, safe, and often remote work environment.

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