Big Data Analytics + DevOps Engineer

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Position :    Big Data Analytics + DevOps Engineer

Experience Required :  2–3 years (Freshers with strong knowledge are welcome)

Location :  Punawale, Pune

Employment Type :  Full-Time, Permanent

Compensation :

Freshers :  Stipend of ₹8,000 – 10,000 per month during the training / probation period

Experienced (2–3 years) :   ₹2 – 5 LPA (based on skills and experience)

Job Description :

We are seeking a skilled Big Data Analytics + DevOps Engineer professional with expertise

in Kafka, Hadoop, Spark, Java, Data Analytics, and DevOps. The candidate will be

responsible for designing, developing, and managing large-scale data processing systems and

ensuring smooth deployment and scalability of data applications.

Key Responsibilities :

1. Develop and maintain big data pipelines using Hadoop and Spark.

2. Handle real-time data streaming using Kafka.

3. Implement data analytics solutions to extract insights from large datasets.

4. Collaborate with DevOps teams for CI / CD, automation, and deployment of data

applications.

5. Write efficient, maintainable code in Java and integrate with big data frameworks.

6. Monitor, troubleshoot, and optimize performance of data processing pipelines.

Mandatory Skills :

1. Big Data Technologies : Hadoop, Spark

2. Streaming Platforms : Kafka

3. Programming : Java

4. Data Analytics : Strong understanding of analytics concepts and processing large

datasets

5. DevOps Practices : CI / CD, automation, monitoring, deployment pipelines

Qualifications :

1. Proven experience in Kafka, Hadoop, Spark, Java, DevOps, and data analytics

2. Strong problem-solving and analytical skills

3. Ability to work collaboratively in a fast-paced environment

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