HyrEzy Talent Solution Hiring Drive 2024 For SAP Data Engineer | Location Bengaluru

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HyrEzy Talent Solution Hiring Drive 2024: HyrEzy Talent Solution Hiring Drive 2024 for its SAP Data Engineer.HyrEzy Talent Solution Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related. if you are interested, please apply as soon as possible.

Company Name: HyrEzy Talent Solution

Role: SAP Data Engineer

Location: Bengaluru

Experience: 1 – 3 years

Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related

Batch: Any

Job Type: Full Time

Salary: Best in Industry

HyrEzy Talent Solution Hiring Drive 2024


  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience: 1-3 years of professional experience in data engineering or related roles.
  • SQL Proficiency: Proficient in SQL for data querying and manipulation.
  • ETL Expertise: Strong experience with ETL (Extract, Transform, Load) processes and tools.
  • Big Data Technologies: Hands-on expertise in big data technologies such as Hadoop and Spark.
  • Programming Skills: Proficiency in at least one programming language, preferably Scala.
  • Cloud Platforms: Experience with cloud platforms such as AWS and Azure.
  • Problem-Solving: Strong problem-solving skills and attention to detail.
  • Communication: Excellent communication and collaboration skills.
  • Agile Environment: Ability to thrive in a fast-paced, agile environment.


  • Data Pipeline Management: Design, develop, and maintain scalable data pipelines and infrastructure to support data processing, analytics, and machine learning applications.
  • Collaboration: Work with cross-functional teams including data scientists, analysts, and product managers to understand data requirements and deliver robust solutions.
  • ETL Processes: Implement ETL processes to extract, transform, and load data from various sources into data warehouses and lakes.
  • Optimization: Optimize the performance and efficiency of data workflows and storage systems.
  • Data Quality: Ensure data quality and reliability through monitoring, testing, and troubleshooting.
  • Industry Knowledge: Stay current with industry trends and best practices in data engineering and technologies.


  • data processing
  • alv report
  • ssap abapvb
  • netdata engineering
  • module pool

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