Big Data Engineer

1 day ago


Dallas, Texas, United States Amazon Full time
About the Role

We are seeking a highly skilled Big Data Engineer to join our team at Amazon. As a key member of our Data Engineering team, you will be responsible for designing, building, and maintaining large-scale data processing systems that support our business operations.

Your primary focus will be on developing and implementing data pipelines, data warehouses, and data lakes that enable our customers to make data-driven decisions. You will work closely with cross-functional teams, including data scientists, product managers, and engineers, to ensure that our data solutions meet the evolving needs of our business.

Key Responsibilities
  • Design and develop large-scale data processing systems using technologies such as Hadoop, Spark, and NoSQL databases.
  • Develop and maintain data pipelines that ingest, process, and store large datasets from various sources.
  • Collaborate with data scientists to develop and deploy machine learning models that drive business insights.
  • Work with product managers to understand business requirements and develop data solutions that meet those needs.
  • Ensure data quality, security, and compliance with Amazon's data governance policies.
Requirements
  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • 3+ years of experience in data engineering, data architecture, or a related field.
  • Expert-level skills in programming languages such as Java, Python, or Scala.
  • Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
  • Strong understanding of data modeling, data warehousing, and data governance.
What We Offer

At Amazon, we offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. We are committed to creating a diverse and inclusive work environment that fosters innovation and collaboration.

Join our team and be part of a dynamic and fast-paced environment that is shaping the future of data engineering and data science.


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