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Tata Consultancy Services · Bengaluru

# Big Data Engineer

Bengaluru Data & Analytics 

Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since.
[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/414389J)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Big Data Engineer

## Job description

Role - Big Data and Hadoop Developers /Leads Experience - 5 to 15 years Joining Location - PAN INDIA Interview location - Bengaluru, Chennai, Hyderabad, Kolkata, Pune, Delhi and Vizag Job description Technical/Functional Skills

### Hadoop Ecosystem
- In-depth knowledge of Hadoop, HDFS, MapReduce, Hive, Pig, HBase, and Spark.

### Programming
- Strong programming skills in Java, Python, or Scala.

### Big Data Technologies
- Experience with big data technologies, including NoSQL databases, data warehousing, and ETL tools.

### Data Processing
- Experience with data processing frameworks, including Hadoop, Spark, and Flink.
- Very good conceptual understanding of Multithreading, distributed computing concepts of Pyspark

### Communication
- Excellent communication and collaboration skills.

### Cloud Experience
- Experience with cloud-based big data platforms, such as AWS EMR, Azure HDInsight, or Google Cloud Dataproc.

### Machine Learning
- Experience with machine learning and deep learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn.

### Certifications
- Relevant certifications, such as Cloudera Certified Professional (CCP) or Hortonworks Certified Developer (HCD)

## Qualifications

BACHELOR OF TECHNOLOGY

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Aug 1, 2026
- Last checked: Aug 1, 2026
- Listed for: Under a day
- Location: Bengaluru[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/414389J)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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