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Tier-1 brand, metro location and mid-level data engineer title create high applicant competition.
Data engineering skills are transferable across industries but require specific cloud and pipeline tool expertise.
Explicit years requirement plus mandatory data engineering tools and cloud stack create strict technical shortlisting.
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Develop, configure, and maintain data ingestion and processing pipelines including data lake and streaming data ingestion.
Support and enhance data curation pipelines integrating data from multiple sources to ensure high data quality and integrity.
Maintain health and monitoring of data engineering solutions ensuring high platform availability and work with Infrastructure teams as SME.
Minimum 2 years experience in Data/BI Engineering, Data Warehousing/ETL, or Software Engineering, including 1 year on SDLC project implementation.
Bachelor's degree in Engineering/Computer Science, CIS, or related field (or equivalent experience).
Hands-on experience with Kafka, Apache Spark (SQL, Scala), and Airflow.
Experience with GCP Cloud Composer, Big Query, and DataProc required; role is onsite in Bengaluru.
Experience supporting and monitoring enterprise-scale data platforms with high availability requirements.
Proficiency in real-time data processing and open source data frameworks indicating strong operational engineering capability.
Domain expertise in financial or business metrics pipelines favored due to FIAT team focus on financial data serving multiple teams.