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">Big Data Engineer">

Job Description: As a senior big data engineer, you will play a key role in designing and implementing large-scale data processing systems. You will work with cross-functional teams to develop and deploy data pipelines that integrate with various data sources and enable business insights.

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  • Develop scalable and efficient data pipelines using Hadoop, Spark, and other big data technologies.
  • Collaborate with data analysts, data scientists, and other stakeholders to understand business requirements and deliver high-quality solutions.
  • Design and implement ETL processes to support business needs and ensure high data availability.
  • Conduct performance tuning to improve the speed and reliability of data pipelines.
  • Implement data validation and quality checks to ensure data integrity and accuracy throughout the migration process.
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Required Skills and Qualifications: To succeed in this role, you must have:

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  • 5+ years of experience in big data engineering with a focus on Hadoop, Spark, and NoSQL databases.
  • Expertise in data modeling, data warehousing, and data governance.
  • Strong programming skills in Java, Python, or Scala.
  • Experience with cloud-based big data platforms such as AWS, Azure, or Google Cloud.
  • Excellent communication and collaboration skills.
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Benefits: Our company offers a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.