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Multiple amplifiers: popular Data Engineer role, mid-level experience, Bangalore metro, and broad Spark/Azure skillset.
Core data engineering skills and Spark/Azure experience are broadly transferable across industries.
Multiple mandatory technologies (Spark, Scala/PySpark, Hadoop, Kafka, Azure/Databricks) increase strictness.
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Design, implement, deploy, and maintain data marts and ETL processes ensuring reliability, scalability, and performance.
Design and maintain quality indicators and monitoring/alerting systems for data assets.
Troubleshoot and document data issues adhering to company standards and drive continuous improvement in data systems.
Experience writing production quality code in Scala (preferred), PySpark, or Java.
Hands-on experience with big data technologies: MapR filesystem, Apache Spark, Hadoop, Kafka, and Impala.
University degree in Computer Science or related field or equivalent experience.
Proven track record in data engineering domain including defining ETL processes and experience with Microsoft Azure and Databricks technologies.
Experienced in Apache Spark architecture and components with strong expertise in Scala or PySpark programming.
Skilled with multiple data storage technologies including SQL and optionally NoSQL databases like MongoDB.
Familiar with agile software design and DevOps pipelines, capable of working autonomously in a global, multi-cultural environment.