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349 WN Infotech Jobs

Big Data Analytics Intern

0-1 years

Noida, Pune, Gurgaon / Gurugram + 1 more

1 vacancy

Big Data Analytics Intern

WN Infotech

posted 8d ago

Job Role Insights

Job Description

Job Summary

The Big Data Analytics Internship at Web Neural Infotech provides an immersive experience in managing and analyzing large datasets. As a Big Data Analytics Intern, you will support the development and optimization of data pipelines, ensure data quality, and help extract insights through data analysis. This internship is ideal for students or recent graduates looking to gain hands-on experience with industry-leading big data tools and real-world analytics projects in a dynamic environment.

Your Role and Responsibilities
  • Project Planning and Requirement Gathering : Collaborate with team members to define project objectives, data requirements, and pipeline goals, using tools like Jira, Trello, and Confluence.
  • Data Collection and Ingestion : Gather data from various sources, including APIs, databases, and streaming services, using tools such as Apache Kafka, Flume, and Scrapy.
  • Data Storage and Management : Help organize, store, and secure large datasets using Hadoop HDFS, Amazon S3, MongoDB, and MySQL.
  • Data Quality and Validation : Conduct data quality checks to detect anomalies, and apply validation rules using tools like Great Expectations and TensorFlow Data Validation (TFDV).
  • Data Cleaning and Preparation : Clean, preprocess, and transform data using tools like Apache Spark, Pandas, and NumPy to prepare datasets for analysis.
  • Data Lake Management : Assist in the setup and management of data lakes with tools like AWS Lake Formation, Azure Data Lake, and Delta Lake to handle large volumes of data.
  • Data Analysis and Visualization : Contribute to data analysis and create visualizations with tools like Tableau and Power BI to communicate insights.
  • Required Technical and Professional Expertise

    • Technical Skills :

      • Proficiency in Python and SQL for data manipulation and analysis.
      • Familiarity with big data frameworks such as Hadoop and Spark .
      • Experience with ETL tools and data collection frameworks (e. g. , Apache Kafka, Flume).
      • Understanding of data storage technologies like Amazon S3, Google Cloud Storage, MongoDB, and MySQL.
      • Basic knowledge of data validation tools such as Great Expectations or TFDV.
      • Experience or coursework in data visualization tools like Tableau or Power BI.
    • Professional Skills :

      • Strong analytical and problem-solving skills with high attention to detail.
      • Excellent collaboration skills and ability to work effectively within a team.
      • A proactive approach to learning new tools and methodologies in a fast-paced environment.
      • Communication skills to effectively share data insights with team members and stakeholders.
    Qualification & Experience Required
  • Currently pursuing or recently completed a degree in Data Science , Computer Science , Statistics , or a related field.
  • Previous internship experience or relevant coursework in data analytics, big data, or programming is preferred.
  • A foundational understanding of big data technologies and data processing principles through academic projects or practical experience.

  • Employment Type: Full Time, Permanent

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