ReaCredence IT Solutions Inc Hiring Drive 2023 For Data Engineering Internship| Location India  

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ReaCredence IT Solutions Inc Hiring Drive 2023: ReaCredence IT Solutions Inc hiring for a job role of Technical Data Engineering Internship for India Location Jobseekers With Years Of Experience candidates can apply for this job role ASAP. 

Company Name: ReaCredence IT Solutions Inc

Role: Data Engineer Internship

Location: India  

Experience: 2 Years

Qualification: Bachelor’s degree

Batch: Any Batch

Salary: Estimated

ReaCredence IT Solutions Inc Hiring Drive 2023

Key Responsibilities:

  • Designing and developing data pipelines: Collaborate with the team to design and implement efficient and scalable data pipelines, including data ingestion, transformation, and storage.
  • Data infrastructure management: Assist in setting up and maintaining data infrastructure components such as databases, data warehouses, and data lakes. Monitor and optimize performance to ensure data availability and reliability.
  • Data integration: Integrate data from various sources and formats, ensuring data quality and consistency. Develop data integration workflows and scripts to automate data processing tasks.
  • Data transformation and modeling: Implement data transformation processes to convert raw data into structured formats suitable for analysis. Work on data modeling activities to support data analysis and reporting requirements.
  • Data quality and validation: Implement data validation and quality checks to ensure accuracy, completeness, and consistency of data. Identify and resolve data quality issues in collaboration with the data engineering team.
  • Performance optimization: Identify opportunities for performance improvement and optimization of data processing and storage systems. Propose and implement solutions to enhance system efficiency and scalability.

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Skills Required:

  • Currently pursuing a bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Familiarity with databases (SQL, NoSQL) and data modeling concepts.
  • nowledge of data processing frameworks and technologies such as Apache Spark, Apache Hadoop, Git, Jupyter Notebooks, Docker,Splunk, Elasticsearch / Logstash / Kibana (ELK Stack) or Apache Kafka.
  • Understanding of data integration and ETL (Extract, Transform, Load) processes.
  • Previous experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

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