Client Consulting Manager(Data Engineer)
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The role
Lead the design and implementation of enterprise-scale data platforms using Spark, Hadoop, Kafka, and cloud-native services.
Architect robust, scalable data pipelines for batch, streaming, and real-time analytics with a focus on data quality and observability.
Define engineering standards, drive architectural decisions, and mentor a team of data engineers across multiple projects.
Build and optimize production-grade ETL/ELT pipelines, implement real-time streaming with Kafka and Spark Streaming, and design distributed data models.
Enable AI/ML workloads with feature stores, training pipelines, model serving, and GenAI pipelines (embeddings and vector storage).
Own cloud infrastructure and DevOps practices (CI/CD, Docker/Kubernetes, Airflow) to ensure reliability, DR/HA, and scalable deployments.
Architect robust, scalable data pipelines for batch, streaming, and real-time analytics with a focus on data quality and observability.
Define engineering standards, drive architectural decisions, and mentor a team of data engineers across multiple projects.
Build and optimize production-grade ETL/ELT pipelines, implement real-time streaming with Kafka and Spark Streaming, and design distributed data models.
Enable AI/ML workloads with feature stores, training pipelines, model serving, and GenAI pipelines (embeddings and vector storage).
Own cloud infrastructure and DevOps practices (CI/CD, Docker/Kubernetes, Airflow) to ensure reliability, DR/HA, and scalable deployments.
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