Norwin Technologies - Data Engineer - ETL/Snowflake DB in Bangalore, भारत

About the Role :We are seeking a Data Engineer to build and optimise 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 https://jobeax.com/link/QJthsbNyq6dgbViB Responsibilities :- Build and maintain scalable batch and real-time data pipelines for fraud analytics.- Develop and optimise Spark-based data processing frameworks.- Design Kafka-based streaming and event-driven architectures.- Implement efficient data ingestion frameworks and integrate multiple data sources.- Build and support Snowflake data warehouse and data lake solutions.- Develop data models for reporting, analytics, machine learning and fraud investigations.- Design scalable cloud data solutions using AWS and/or Azure.- Ensure data quality, governance, reliability, monitoring and compliance.- Collaborate with Data Scientists, Fraud Analysts and Engineering teams to deliver data-driven solutions.- Support production-grade analytics and ML platforms, ensuring reliability and https://jobeax.com/link/DoyjGsphhVtEB3jH Qualifications :- 4+ years of experience in Data Engineering or Big Data Engineering.- 2+ years of experience building large-scale distributed data processing systems.- Experience supporting production-grade analytics and machine learning platforms.- Strong hands-on experience with Apache Spark, Apache Kafka and Snowflake.- Experience developing scalable batch and streaming data pipelines.- Strong programming skills in Python, Scala or Java.- Experience working with AWS and/or Azure cloud data https://jobeax.com/link/AdjjfGxsi9NSPZxr Stack :- Apache Spark: Large-scale distributed data processing, batch and streaming pipelines, performance tuning.- Apache Kafka: Event streaming, real-time data processing, messaging architectures.- Snowflake: Data warehousing, data modelling, ELT workflows, security.- Cloud: AWS (S3, Kinesis, DynamoDB, RDS, Glue, EMR, Redshift) or Azure (ADLS, ADF, Event Hubs, Synapse, Databricks, SQL).- Programming: Python, Scala or https://jobeax.com/link/gsegTHVMfInVP77f Skills :- Experience in fraud analytics, fraud detection or transaction-related data processing.- Exposure to data lakes and modern data platform architectures.- Experience building and supporting ML data pipelines.- Knowledge of data governance, compliance and production https://jobeax.com/link/n6XHIKBnIRsjBAf0 Location :- Bengaluru, KarnatakaNotice Period :- Candidates who can join within 45 days are preferred. (ref:hirist.tech)