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Hybrid Big Data Engineer

New Delhi, Delhi
Accounting - Finance
#711503
Remote / WFH

Job Description

Made A Way Pvt Ltd


Content Editor for mathematics
Made A Way Pvt Ltd • New Delhi, Delhi • via LinkedIn
20 hours ago
Full–time
Apply on LinkedIn
Job description
MADE A WAY is an initiative to create and develop the smart and innovative education content and deliver
it to the society.
Made A Way started as a educational platform for Competitive exams such as GATE, IES, SSC, etc in the
year 2017. After getting the feedback from our subscribers in the span time, we are initiating to provide
economical content to the society. We provide the academic contents ...
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Cosmoquick


Hybrid Big Data Engineer
Cosmoquick • New Delhi, Delhi • via Shine
6 hours ago
Full–time
Apply on Shine
Job description
Role Overview:
As a hybrid Big Data Engineer in Delhi, you will have the opportunity to work both remotely and on-site. Your primary focus will be on developing and maintaining scalable data pipelines and infrastructure for processing and analyzing large volumes of data.

Key Responsibilities:
- Design, develop, and maintain data pipelines to support data processing and analysis.
- Collaborate with cross-functional teams to understand data requirements and implement solutions.
- Optimize and tune data pipelines for performance and scalability.
- Ensure data quality and reliability through monitoring and troubleshooting.

Qualifications Required:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong experience with Big Data technologies such as Hadoop, Spark, and Kafka.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with cloud platforms like AWS or Azure is a plus.

Note: No additional details about the company were provided in the job description. Role Overview:
As a hybrid Big Data Engineer in Delhi, you will have the opportunity to work both remotely and on-site. Your primary focus will be on developing and maintaining scalable data pipelines and infrastructure for processing and analyzing large volumes of data.

Key Responsibilities:
- Design, develop, and maintain data pipelines to support data processing and analysis.
- Collaborate with cross-functional teams to understand data requirements and implement solutions.
- Optimize and tune data pipelines for performance and scalability.
- Ensure data quality and reliability through monitoring and troubleshooting.

Qualifications Required:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong experience with Big Data technologies such as Hadoop, Spark, and Kafka.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with cloud platforms like AWS or Azure is a plus.

Note: No additional details about the company were provided in the job description.
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