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Well-known employer, metro Bangalore, mid-level Data Engineer title and common big-data stack drive high competition.
Standard big-data, cloud and ETL skills are easily transferable, so background fit sensitivity is low.
Multiple mandatory big-data technologies (Spark/Scala, Hadoop, Kafka, Azure Databricks) make shortlisting highly selective.
Design, implement, deploy, and maintain scalable and reliable data marts, ETL systems, and data assets.
Develop and maintain quality indicators with monitoring and alerting for data systems.
Troubleshoot data-related issues and drive continuous improvement in data processes and systems.
Proven experience in data engineering including defining and maintaining ETL processes and data modeling.
Hands-on coding skills in Scala (preferred), PySpark, or Java, and strong knowledge of big data technologies such as Apache Spark, Hadoop, Kafka, Impala.
University degree in computer science or related field or equivalent experience.
Experience working with Microsoft Azure, Databricks, and SQL-based databases; familiarity with Azure cloud technologies is required.
Experienced in production-quality coding and application design within big data ecosystems using Scala, PySpark, or similar languages and tools.
Familiar with agile software design frameworks and DevOps practices, with ability to build and maintain CI/CD pipelines.
Capable of adapting to fast-paced, multicultural environments, with a collaborative and proactive work style focused on problem-solving and innovation.