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Mid-level data role, metro Gurgaon, broad stack (Spark/Kafka/Python), and recognizable startup brand drive high competition.
Core data engineering skills transfer across industries, though fintech domain experience is advantageous.
Explicit 3–6 year requirement plus mandatory Spark/Kafka/BigQuery/Airflow stack increases shortlisting strictness.
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Design and build scalable data platform components including ETL pipelines, data lake/warehouse integrations using Apache Spark, HDFS, Kafka Streams.
Develop real-time analytics and machine learning deployment solutions in collaboration with Data Science teams.
Implement monitoring and alerting systems to ensure high availability and performance of data infrastructure.
Bachelor's degree in Computer Science.
3-6 years of relevant experience in data engineering.
Proficiency with Apache Spark, Apache Kafka, Google BigQuery, AWS Lambda or GCP Cloud Functions, Python/Scala, and Apache Airflow.
Work Experience Required: 3-6 years in data engineering or relevant roles.
Experienced in building and scaling complex data platforms with real-time processing capabilities.
Familiar with fintech data engineering challenges and data-driven product development.
Collaborative with cross-functional teams including Data Science for machine learning model deployment.