Big Data Executive

Cloud Counselage Pvt Ltd; Mumbai; Hybrid; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Opportunities for career advancement

Exposure to cutting-edge technologies

Job summary

A technology solutions company in Mumbai is seeking a Big Data Executive to implement big data solutions and optimize data pipelines. The ideal candidate will have strong experience in Big Data frameworks like Hadoop and Spark, proficiency in Java, Scala, or Python, and a relevant degree. This role offers opportunities for career advancement and exposure to cutting-edge technologies in a collaborative environment.

Qualifications

• Strong experience with Big Data frameworks.
• Proficiency in programming languages such as Java, Scala, or Python.
• Experience with distributed storage and processing tools.

Responsibilities

• Design, develop, and maintain scalable Big Data systems.
• Work with large, complex datasets to build data pipelines.
• Collaborate with data scientists to extract insights.

Skills

Big Data frameworks (Hadoop, Spark, Kafka)

Programming languages (Java, Scala, Python)

Distributed data storage (HDFS, Cassandra, MongoDB)

Data warehousing and ETL processes

Education

Bachelor’s degree in data science, computer science, or related fields

Tools

Hadoop

Spark

Hive

NoSQL databases

Job description

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
• Bachelor’s degree in data science, computer science, or related fields

Job Location: Remote/Hybrid/In-Office

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