Reliance Jio Walk-In Interview Opportunities | 16th March 2024 ( In Person Interview )

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Reliance Jio Walk-In Interview

Overview

Reliance Jio has been at the forefront of revolutionizing the telecommunications landscape in India, offering cutting-edge services and products that have redefined connectivity for millions. As a company driven by innovation, Reliance Jio is constantly seeking passionate individuals who share its vision of empowering a digital India.

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Siemens Job Interview News

Are you ready to embark on a journey of innovation and transformation in the telecom industry? Look no further, as Reliance Jio brings you an exclusive opportunity to join its dynamic team through a walk-in interview session on the 16th of March, 2024.

Reliance Jio Walk-In Interview on 16th March 2024 for Fresher & Experience Opportunity.

Opportunities Available: The walk-in interview presents a multitude of opportunities across various domains, including but not limited to:

Walk-in Interview |Sr. Data Engineer/Data Engineer

Job Responsibilities:

  • Design, build, and maintain robust data pipelines and ETL processes to support data integration, transformation, and storage.
  • Develop and implement data architecture solutions using technologies such as Kafka, Hadoop, Hive, PySpark, and Cloudera.
  • Optimize and tune data pipelines for performance, reliability, and scalability.
  • Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver actionable insights.
  • Work closely with infrastructure teams to manage on-premises data infrastructure and ensure high availability and security.
  • Implement best practices for data governance, data quality, and data security.
  • Evaluate and recommend new technologies, tools, and frameworks to enhance data engineering capabilities.
  • Provide technical leadership and mentorship to junior members of the data engineering team.
For more details to Walk-In, Click here!

Walk-In Interview | Lead Data Engineer|16th Mar’24

Job Responsibilities:

  • Bachelor’s or master’s degree in computer science, Engineering, or related field.
  • 5+ years of experience in data engineering roles with a focus on building data pipelines and data infrastructure.
  • Extensive hands-on experience with Kafka, Hadoop, Hive, PySpark, and Cloudera.
  • Proficiency in Python programming language for data manipulation, scripting, and automation.
  • Strong understanding of distributed systems, data modelling, and database concepts.
  • Experience working with on-premises data infrastructure and cloud platforms (e.g., AWS, Azure, GCP).
  • Streaming experience – Spark streaming, Flink.
  • Extensive hands-on experience on coding – Java/Scala/Python
  • Need to have experience on Linux/Scripting
  • Strong understanding of Data Modelling
  • Excellent problem-solving skills and ability to troubleshoot complex data issues.
  • Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
  • Proven track record of delivering high-quality solutions on time and within budget.
For more details to Walk-In, Click here!

Walk-In – Sr. Data Engineer (3-6 years)

Job Responsibilities:

Bachelor’s or master’s degree in computer science, Engineering, or related field.

3+ years of experience in data engineering roles with a focus on building data pipelines and data infrastructure.

Extensive hands-on experience with Kafka, Hadoop, Hive, PySpark, and Cloudera.

Proficiency in Python programming language for data manipulation, scripting, and automation.

Strong understanding of distributed systems, data modeling, and database concepts.

Experience working with on-premises data infrastructure and cloud platforms (e.g., AWS, Azure, GCP).

Streaming experience – Spark streaming, Flink.

Extensive hands-on experience in coding – Java/Scala/Python

Need to have experience in Linux/Scripting Strong understanding of Data Modelling

Excellent problem-solving skills and ability to troubleshoot complex data issues.

Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.

Proven track record of delivering high-quality solutions on time and within budget.

For more details to Walk-In, Click here!