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Build and lead a multitenant data platform in AWS and Databricks, owning ingestion, storage, and access layers for internal and external data sources using Python, PySpark, and modern data tools.
Senior Data Analytics Engineer builds and maintains a centralized data warehouse and scalable pipelines in BigQuery, reconciling financial sources and ensuring audit-ready data for stakeholders.
Build and maintain data pipelines and a BigQuery-based data warehouse for a global ride-hailing platform, reconciling financial data from multiple providers.
Builds and maintains scalable data pipelines and ETL processes for IT Service Management using Python, Apache Airflow, T-SQL, and Snowflake to replicate BMC Helix data.
Builds and maintains scalable data pipelines and ETL processes for IT Service Management, using Python, Apache Airflow, T-SQL, and Snowflake to replicate and integrate BMC Helix data.
Builds and maintains AI-driven data pipelines and LLM-assisted workflows to automate engineering processes, schema governance, and test automation using Kafka, SQL, and distributed frameworks.
Designs and builds LLM-powered automation for data pipelines, CI/CD, and developer tooling using Kafka, SQL, and distributed processing frameworks.
Build and maintain scalable data pipelines and transformations using Snowflake, AWS, dbt, and Airflow to power analytics and AI initiatives.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Build and optimize petabyte-scale data pipelines using Spark/Flink and JVM languages, then serve insights via HTTP APIs for media analytics at Comscore.
Senior AI Data Engineer builds scalable ELT pipelines and AI-driven analytics using SQL, dbt, Snowflake, and Spark to power Zendesk’s customer-facing and internal data products.
Design and optimize Snowflake-based data models and semantic layers to power analytics and AI use cases for a global lottery technology provider.
Builds and optimizes data models in PySpark/SQL to support scalable analytics and dashboards, collaborating with business stakeholders and engineers to turn marketing, sales and logistics data into actionable insights.
Build and scale data pipelines in AWS/Databricks to power personalized marketing and AI-driven customer segmentation for a global meal-kit and food retailer.
Design, build, and maintain GCP-based data pipelines (ETL/ELT) and warehouses to power analytics, ML models, and AI apps for a telecom company.
Build and maintain scalable ELT/ETL pipelines, orchestrate workflows in Airflow, and model data in Snowflake/Databricks to power analytics and AI apps, using Python, SQL, and AI coding tools.
Build and maintain ETL/ELT pipelines that feed a data warehouse and internal apps for an energy-trading company, using SQL, Python, Airflow, and APIs.
Build and maintain distributed data pipelines for regulatory reporting using Hadoop, Spark, SQL, and Kafka, while ensuring data quality and system stability.
Build and maintain distributed data pipelines using Hadoop, Spark, SQL, and Kafka to support regulatory reporting and event-driven architectures.
Build and scale cloud data platforms for global clients using Azure, Databricks, Spark, and CI/CD pipelines, designing ETL/ELT architectures and data models.
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