Highly Skilled Data Expert Wanted

2 days ago

Nellore, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Data Engineer II Job Description

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We are seeking a highly skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, executing, and managing large-scale distributed data systems.

Your primary focus will be on developing and maintaining high-performance data processing pipelines, ensuring seamless integration with various data sources, and implementing robust monitoring and optimization strategies.

The ideal candidate will have a strong background in big data technologies, including Apache Hadoop, relational databases (e.g., MySQL), and programming languages such as Java, Python, or Scala.

You should also possess expertise in SQL, proficiency in Apache Spark, and hands-on experience working with DataFrames, datasets, RDDs, Spark SQL/PySpark/Scala APIs, and performance optimizations.

In addition, we require a solid understanding of distributed storage (HDFS/S3) and good analytical/quantitative skills to work effectively with large data sets.

Achieving a balance between scalability, efficiency, and reliability will be crucial to your success in this role.

Responsibilities:

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  • ">
  • Design and develop high-quality data processing pipelines that meet business requirements.">
  • Ensure seamless integration with various data sources and services.">
  • Implement and maintain robust monitoring and optimization strategies to ensure system performance and stability.">
  • Maintain and improve existing data processing systems, identifying areas for improvement and optimizing performance.">
  • Collaborate with cross-functional teams to design and implement new features and enhancements.">
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Requirements:

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  • ">
  • 2-4 years of experience in big data technologies (Apache Hadoop) and relational databases (e.g., MySQL).">
  • Proficiency in at least one programming language - Java, Python, or Scala.">
  • Expertise in SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).">
  • Proficiency in Apache Spark and hands-on knowledge of working with DataFrames, datasets, RDDs, Spark SQL/PySpark/Scala APIs with deep understanding of Performance Optimizations.">
  • Good Understanding of Distributed Storage (HDFS/S3).">
  • Strong analytical/quantitative skills and comfortable working with very large sets of data.">
  • Experience with integration of data across multiple data sources.">
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Benefits:

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  • ">
  • Competitive salary and benefits package.">
  • Ongoing training and professional development opportunities.">
  • Opportunity to work with a talented and diverse team.">
  • A dynamic and fast-paced work environment.">
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Additional Information:

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This is an exciting opportunity to join a leading organization and contribute to the growth and success of our data engineering team.

If you are a motivated and detail-oriented individual with a passion for data engineering, please submit your application today

"]],

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