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Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Designs and maintains cloud-based data pipelines using Databricks, Python, and Airflow to ensure healthcare data is accurate and accessible for analytics and decision-making.
Design and build large-scale data pipelines in Python/Scala and Spark to curate high-quality datasets for training next-gen AI models at TB/PB scale.
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Builds a real-time data platform using CDC, Kafka, Cloudera, Iceberg, and Spark to implement a Medallion Lakehouse architecture.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Senior Data Engineer builds and optimizes Snowflake-based cloud data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
Senior Data Engineer builds and optimizes Snowflake-based data pipelines and cloud-native platforms, mentors junior team members, and collaborates with clients to modernize their data infrastructure.
Senior Data Engineer builds and optimizes cloud-native Snowflake data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
Build and maintain real-time data pipelines and streaming applications using Kafka, Flink, and Spark to process large-scale data with low latency.
Build and maintain data pipelines, manage SingleStore databases, and support developers in a lakehouse environment.
Build and maintain the data platform’s ingestion, transformation and quality services using Kafka, Spark/Flink and DevOps practices to support high-volume gaming platforms.
Build and maintain the data platform that powers high-volume gaming services, using Java/Python, Kafka, Spark/Flink, and DevOps practices to ensure reliable ingestion, transformation, and data quality.
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Builds scalable data pipelines and optimizes cloud-based data lakehouse platforms using Databricks, Spark, Airflow, and Iceberg for digital-transformation projects.
Build and maintain a modern data platform in AWS/Snowflake using Python, SQL, Airflow/dbt, and Terraform to power analytics and reporting for a crypto/fintech platform.
Build and optimize large-scale data pipelines using PySpark/Scala and AWS services to power analytics, ML, and reporting for a leading digital bank.
Designs and implements scalable data pipelines using Scala, Apache Spark, and Databricks to process and integrate financial data in cloud environments.
Build and maintain large-scale data pipelines and cloud infrastructure using AWS, Spark/Scala, Python, and SQL to power analytics and ML workloads.
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