Big Data Executive
Posted 15 days ago
Who can apply
India only
Salary
Not disclosed
Level
Executive
Full-time
Timezone
UTC +5
About the role
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Job Overview: As a Big Data Executive, you will be responsible for implementing big data solutions, working on high-volume data processing, and analyzing data to support business decisions. You will work with cross-functional teams to design, build, and optimize data pipelines.
What's for the Candidate:
- Opportunity to lead key data initiatives within the organization
- Exposure to cutting-edge Big Data technologies and methodologies
- Opportunity for career advancement and increased responsibilities
- Competitive salary and benefits package.
Key Responsibilities:
- Design, develop, and maintain scalable Big Data systems
- Work with large, complex datasets to build data pipelines
- Use tools such as Hadoop, Spark, Hive, and NoSQL databases to process and store data
- Collaborate with data scientists and analysts to extract insights and make data-driven recommendations
- Optimize data workflows to improve efficiency and performance
Requirements:
- Strong experience with Big Data frameworks (Hadoop, Spark, Kafka)
- Proficiency in programming languages such as Java, Scala, or Python
- Experience with distributed data storage and processing tools like HDFS, Cassandra, or MongoDB
- Familiarity with data warehousing and ETL processes
- Bachelorâs degree in data science, computer science, or related fields
Job Location: Remote/Hybrid/In-Office
Note:To accomplish our vision, our Flagship Event'IAC VISION 2030' would provide employment and career opportunities for millions of job-ready interns, freshers and professionals in our Industry Academia Community (IAC).
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Originally posted on Himalayas
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About Cloud Counselage Pvt Ltd
Listing details & historyShowHide
- Employer posted
- 17 Oct 2026
- Last confirmed open
- Not yet confirmed
- Source
- Job board
- Degree
- Degree required
- “Key Responsibilities: Design, develop, and maintain scalable Big Data systems Work with large, complex datasets to build data pipelines Use tools such as Hadoop, Spark, Hive, and NoSQL databases to process and store data Collaborate with data scientists and analysts to extract insights and make data-driven recommendations Optimize data workflows to”
- Visa
- Not stated
- Timezone
- Not stated
- Languages
- Not stated
- Location evidence
- “Remote — India”
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History
- 1 Nov · Added to Remotavia
