Posted by Reliance Industries Limited is an Indian multinational conglomerate headquartered in Mumbai. Its businesses include energy, petrochemicals, natural gas, retail, telecommunications, mass media, and textiles
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Jio is an Indian telecommunications company and a subsidiary of Jio Platforms, headquartered in Navi Mumbai, Maharashtra. It operates a national LTE network with coverage across all 22 telecom circles. Jio offers 4G and 4G+ services all over India and 5G service in many cities. Its 6G service is in the works.
Reliance Jio Walk In Interview on 16th March 2024
Location: Gurgaon, Noida,India
Experience: 3 – 10 years
Walk-In for Sr. Data Engineer (3-6 years) – 16th Mar 2024
We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in building and optimizing data pipelines, data architecture, and data sets for optimal performance. The Senior Data Engineer will collaborate closely with cross-functional teams to design and implement scalable solutions for data ingestion, processing, and analysis.
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.
Qualifications:
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.
For more details to Walk-In, Click here!
Walk-In Interview | Lead Data Engineer| 16th Mar 2024
Big Data COE – Data Engineer
Job Description:
This role is for a Data Engineer with solid development experience who will focus on creating robust data pipelines and enhancing existing ETL processes. You will be an integral part of development team examining requirements and designing optimal solutions. The role is for a self-motivated individual with knowledge of Hadoop ecosystem and various Hadoop tools/services. The candidate will perform hands-on activities including design, documentation, development and test of new functionality.
Qualifications:
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.
For more details to Walk-In, Click here!
Walk-in Interview|Sr. Data Engineer/Data Engineer
We are seeking a highly skilled Senior Data Engineer with 4 to 8 years of experience to join our dynamic team. The ideal candidate will have extensive experience in building and optimizing data pipelines, data architecture, and data sets for optimal performance. The Senior Data Engineer will collaborate closely with cross-functional teams to design and implement scalable solutions for data ingestion, processing, and analysis.
Qualifications:
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.