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Mid-level metro data-engineer role with broad stack and common title increases competition.
Core data-engineering skills (Spark, Kafka, Airflow) are highly transferable across industries.
Explicit 3–5 year requirement plus mandatory Spark/Kafka/BigQuery/Airflow skills tighten shortlisting.
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Design and architect Pluang's Data Platform using Apache Spark, HDFS, Kafka Streams, and ETL pipelines to manage data flow into Data Lake and Warehouse.
Develop scalable, real-time analytics solutions and collaborate with Data Science to build and deploy Machine Learning platforms and models.
Implement monitoring and alerting systems to ensure scalability, availability, and performance of the Data Platform.
Bachelor's degree in Computer Science.
3 to 5 years of work experience in data engineering or related roles.
Proficiency in Apache Spark, Apache Kafka, Google BigQuery, AWS Lambda, GCP Cloud Functions, Python/Scala, Apache Airflow, and real-time data streaming technologies.
Location requirement: Gurgaon, Haryana, India (onsite).
Experienced in architecting and operating large-scale data platforms with strong familiarity in Apache Spark and Kafka ecosystems.
Skilled at developing real-time data pipelines and integrating Machine Learning solutions within data platforms.
Comfortable working in a fintech environment addressing unique data engineering challenges.