Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong employer brand, generic Data Engineer title, and Bengaluru metro location increase applicant competition.
Data engineering skills (Spark, Hadoop, ETL) are widely transferable across industries.
Multiple specific big-data technologies and production coding requirements make screening stringent.
Design, develop, deploy, and maintain data marts, ETL pipelines, and data products ensuring their reliability, scalability, and performance.
Create and maintain quality indicators along with monitoring and alerting systems for data assets.
Troubleshoot data-related issues and document solutions adhering to company standards, while continuously improving data systems and processes.
Hands-on production coding experience in Scala (preferred) or PySpark.
Experience with big data technologies including MapR filesystem, Apache Spark, Hadoop, Kafka, and Impala.
Experience with scripting languages like Bash and Python.
Work Experience Required: Not explicitly mentioned in the JD.
Strong understanding and proven experience with Apache Spark architecture and components.
Experience working with various database technologies including familiarity with NoSQL databases like MongoDB (a plus).
Experience or knowledge of DevOps pipelines and analytics platforms such as Tableau considered advantageous.