Software Engineer - Data Engineering-Zeotap

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📢 Job Opportunity Alert!

Position: Software Engineer - Data Engineering
Location: Bengaluru
Company: Zeotap
Type: Full-Time
Experience: Fresher/Experienced

Responsibilities:

  • I design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow, and I am familiar with Google Cloud.
  • Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.
  • Collaborate with data scientists and other stakeholders to improve data models that drive business processes.
  • Implement data flow and tracking using Apache Airflow.
  • Ensure data quality and integrity across various data processing stages.
  • Monitor and optimize the performance of data processing pipelines.
  • Tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale datasets.
  • Troubleshoot and resolve issues related to data pipelines and infrastructure.
  • Stay up-to-date with the latest technologies and best practices in Big Data and data engineering.
  • Adhere to Zeotap’s company, privacy, and information security policies and procedures.
  • Complete all assigned awareness training on time.

Requirements:

  • 2+ years of experience in building and deploying high-scale solutions.
  • Strong problem-solving skills with clear fundamentals of data structures and algorithms.
  • Expert coding skills in Java or Scala.
  • Coding skills in Go or Python are a significant plus.
  • Mandatory experience with Apache Spark or other Big Data stack technologies.
  • Proficiency in high-level and low-level design.
  • A significant advantage is a deep understanding of any OLTP, OLAP, NoSQL, or Graph databases.
  • Hands-on experience with distributed systems and design is highly desirable.
  • Knowledge of streaming technologies such as Kafka, Flink, or Samza is a big plus.
  • Solid understanding of scalable Big Data technologies.
  • Bachelor’s or Master’s degree in Information Systems, Computer Science, or a related field is preferred.
How to Apply: Click Here

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