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Tier-1 employer, metro Bangalore, popular DevOps role, mid-level experience increases applicant density.
DevOps and cloud-native data skills are highly transferable across industries.
Explicit 2–5 years plus mandatory Kubernetes, cloud, Python, Spark, and Kafka skills make filters strict.
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Design, build, and maintain efficient ETL pipelines and scalable data streaming architectures.
Assist in deploying and monitoring containerized applications using Kubernetes within a cloud environment.
Develop large-scale data transformations with Apache Spark and write maintainable Python code including participation in code reviews.
2 to 5 years of work experience in related field.
Strong proficiency in Python and familiarity with libraries such as Pandas, Kafka, numpy.
Hands-on experience with at least one cloud provider: AWS, GCP, or Azure.
Basic understanding of Kubernetes and Docker; Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience).
Experience with big data technologies including Apache Spark and Apache Kafka for data processing and streaming.
Comfortable working in an Agile environment supporting cross-functional teams and maintaining code quality.
Familiarity with ETL design patterns, data modeling, SQL/NoSQL databases, and version control using Git.