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Metro Bangalore mid-level data engineering role with broad stack and known employer, increasing candidate competition.
Core data engineering skills (Spark, SQL, Azure) are highly transferable across industries.
Multiple mandatory technologies (Scala, Spark, Hadoop, Kafka, Azure) increase filter strictness.
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Design, implement, deploy, and maintain data marts, ETL processes, and data systems ensuring reliability, scalability, and performance.
Develop and maintain quality indicators including monitoring and alerting mechanisms for data assets.
Troubleshoot and document data issues following company standards with continuous improvement of data-related systems and processes.
Hands-on experience with big data technologies including Apache Spark, Hadoop, Kafka, MapR filesystem, and Impala.
Proven experience writing production quality code in Scala (preferred), PySpark, or Java.
University degree in computer science or related field, or relevant experience in data engineering domain.
Work Experience Required: Proven track record in data engineering including ETL process design and data modeling; notice period not explicitly mentioned.
Experienced with Apache Spark architecture, SQL and NoSQL databases; familiarity with Azure cloud technologies including Azure Databricks and Databricks SQL.
Capable of working with Agile methodologies (Scrum, Kanban, SAFe) and maintaining DevOps pipelines.
Strong in problem-solving with the ability to adapt in a fast-paced, multi-cultural environment and take ownership of continuous improvement initiatives.