Big Data Analytics + DevOps Engineer

Apply before

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

We are no longer accepting applications for this ad. Contact us for more details.