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Build and optimize ML models for lead generation and fintech scoring, including classification, ranking, NLP, and bandit algorithms using Greenplum, ClickHouse, and MLflow.
Build and secure multi-cloud infrastructure and Kubernetes platforms for PepsiCo’s eCommerce systems using Terraform, GitOps, and AI-driven DevOps tooling.
Senior/Lead Data Analyst builds and maintains DWH, ETL pipelines, and data models for fintech clients, using SQL, PostgreSQL, Greenplum, and Airflow.
Design and scale Coupang’s petabyte-scale data infrastructure, build real-time ETL/ELT pipelines, and enforce data quality and SLA governance across the organization.
Builds and maintains data analytics pipelines, dashboards, and reports using SQL, Python, and BI tools to support regulatory reporting and decision-making.
Build and optimize data pipelines, DWH, and lakehouse architecture using Airflow, Spark, and Python; integrate APIs, S3, and Kafka; ensure data quality and reliability.
Senior Data Analyst at Target’s Planning & Inventory Management team uses SQL, Python, and AI-driven tools to analyze retail data, optimize inventory, and forecast demand, improving supply chain decisions.
Designs and leads enterprise-grade data and AI solutions for Prudential, focusing on cloud-native architectures, Databricks-based lakehouses, ETL/ELT pipelines, and Agentic AI for insurance and corporate functions.
Designs and leads a modern data platform for an edtech product using Databricks, AWS, and Unity Catalog, migrating legacy pipelines and setting governance, quality, and cost controls.
Build and maintain Snowflake-based data infrastructure for Finance using SQL, Python, dbt, and Airflow to power reporting and analysis.
Build and maintain the backend infrastructure for 100+ external data-provider integrations using Java 17, Dropwizard/Restler, and Kafka, ensuring high reliability and performance at scale.
Lead a team to design and build scalable data pipelines, lakes, and warehouses for government clients using cloud platforms like AWS and Databricks, ensuring data quality and integration.
Build and maintain data pipelines, optimize SQL/NoSQL databases, and implement visualizations in Power BI or Databricks SQL for a global group.
About Us When military bases, national security agencies, federal buildings, healthcare facilities, and leading commercial clients in Washington D.C and across the nation need superior facility support services, we…
About Euka Euka Future Learning is Australia's leading home education platform, delivering K-12 curriculum to thousands of families across the country. Our engineering team builds the systems that power enrolments,…
Lead a distributed data engineering team to build and scale cloud-native pipelines, warehouses, and analytics tools for a vertical SaaS platform serving the plastic surgery industry.
Builds custom media analytics products by combining Nielsen’s TV, streaming, audio, and digital datasets into production-grade models using Python, SQL, and PySpark, while leveraging AI tools for validation and automation.
Build and govern Port’s semantic layer and AI-native data stack, enabling business users to query metrics and run agents conversationally while scaling Snowflake, dbt, and Cortex infrastructure.
Build and maintain data pipelines in Snowflake and Airflow, write Python/SQL, and optionally create REST APIs with FastAPI/Flask.
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