Job Description
Job description
nRole Overview
nSeeking a Data Engineer to build and optimize scalable data solutions for Fraud Detection, Reporting, and Machine Learning . This individual contributor role focuses on real-time streaming, large-scale data processing, cloud platforms, and analytics engineering . The ideal candidate has robust expertise in Apache Spark, Kafka, Snowflake, and AWS/Azure .
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nKey Responsibilities:
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- Build and maintain scalable batch and real-time data pipelines for fraud analytics.n
- Develop and optimize Spark-based data processing frameworks.n
- Design Kafka-based streaming and event-driven architectures.n
- Implement efficient data ingestion frameworks and integrate multiple data sources.n
- Build and support Snowflake data warehouse and data lake solutions.n
- Develop data models for reporting, analytics, ML, and fraud investigations.n
- Design scalable cloud solutions using AWS and/or Azure .n
- Ensure data quality, governance, reliability, monitoring, and compliance.n
- Partner with Data Scientists, Fraud Analysts,



and Engineering teams to deliver data-driven solutions.n

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nRequired Qualifications:
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- 4+ years of experience in Data Engineering or Big Data Engineering.n
- 2+ years of experience building large-scale distributed data processing systems.n
- Experience supporting production-grade analytics and ML platforms.n

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nCore Skills (Must Have)
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- Apache Spark: Large-scale data processing, performance tuning, batch and streaming pipelines.n
- Apache Kafka: Event streaming, real-time data processing, and messaging architectures.n
- Snowflake: Data warehousing, data modeling, ELT, performance optimization, and security.n
- AWS / Azure: Experience with cloud-native data platforms and services such as:n
- AWS: S3, Kinesis, DynamoDB, RDS, Glue, EMR, Redshiftn
- Azure: ADLS, ADF, Event Hubs, Synapse, Databricks, Azure SQLn
- Strong programming skills in Python, Scala, or Java .n

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📌 Data Engineer (Bengaluru)
🏢 Norwin Technologies
📍 Bengaluru