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Data Engineer / Analyst
McAfee
Bengaluru, IND
Full-time
Mid · 7+ years experience
Hybrid
Discovered 3 weeks ago
SparkKafkaETLDatabricksPostgreSQLMongoDB
Free
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SparkKafkaETL
Role Overview
Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
Drive and optimize data insights and solutions leveraging AI.
Design solutions to combine data sources, external and internal, to drive enhanced consumer experience.
Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.
Build real-time dashboards for monitoring product health and operational issues, while ensuring data quality and integrity.
Ensure seamless AI integration across a polyglot codebase (Android, iOS, macOS, Windows).
Key Skills for This Role
SparkKafkaETLDatabricksPostgreSQLMongoDB
Full Job Posting
About the Role
Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
Drive and optimize data insights and solutions leveraging AI.
Design solutions to combine data sources, external and internal, to drive enhanced consumer experience.
Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.
Build real-time dashboards for monitoring product health and operational issues, while ensuring data quality and integrity.
Ensure seamless AI integration across a polyglot codebase (Android, iOS, macOS, Windows).
About You
You should have 7 to10 years of Data Engineering experience and 1+ year of hands-on AI/ML experience.
Experience with Spark, Kafka, ETL pipelines, and data warehouse like Databricks.
Experience with databases: SQL and NoSQL (PostgreSQL, MongoDB, Redis).
Knowledge of cloud platforms: AWS, Azure, or GCP with a focus on AI/ML services.
Experience in API development (REST, GraphQL) and real-time systems.
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