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Popular mid-level data-engineer role, Bangalore location, 3+ years requirement and broad Spark/Kafka skill set.
Core data-engineering skills are transferable, though edge/firmware collaboration adds moderate industry specificity.
Explicit 3+ years plus required Spark/Scala/Kafka expertise raises filtering, though experience threshold is modest.
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Design and maintain scalable data pipelines using PySpark and Apache Spark for large-scale structured and unstructured data.
Develop real-time analytics solutions on cloud and edge devices.
Collaborate cross-functionally with data scientists, data engineers, and firmware controls teams to solve complex data and architectural challenges.
3+ years of relevant experience in big data technologies.
Proficiency in Java/Scala with strong programming and debugging skills; Python knowledge is a plus.
Hands-on experience with one or more of Kafka, Spark, Flink, Hadoop, or HBase.
Bachelor's degree not explicitly mentioned; MTech/M.S in computational or decision sciences preferred.
Position based in Bangalore or Mumbai, India.
Experienced in implementing data transformation and processing solutions with large datasets using distributed computing principles.
Comfortable with performance tuning and debugging Spark jobs and familiar with cloud platforms like AWS, GCP, or Azure.
Able to work effectively in a cross-functional team environment involving data science, engineering, and firmware control domains.