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Design and build data pipelines, warehouses, and analytics platforms using Databricks, Snowflake, and Azure for enterprise clients.
Design and build scalable Databricks Lakehouse pipelines using Spark, SQL, Python, and Scala to deliver robust ETL solutions and optimize data workloads.
Builds data pipelines and applications for clients using Python, Scala, or Clojure on AWS, Azure, or GCP in a collaborative, startup-like environment.
Build and deploy AI features in a regulated bank’s Snowflake environment, integrating LLMs and Cortex for data insights, engineering tooling, and Streamlit self-service apps.
Design and implement Databricks Lakehouse pipelines, optimize Spark workloads, and lead client workshops using SQL, Python, and Scala.
Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Build and maintain scalable data pipelines, models, and platforms using cloud tools (Azure/GCP/AWS), Snowflake, dbt, and Databricks to help clients turn data into business value.
Builds data pipelines and apps in Python/Scala/Clojure on AWS/Azure/GCP, automating workflows and training clients in a collaborative, startup-like setting.
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and reporting, using SQL, Snowpark, and Airflow.
Senior software consultant builds and optimizes web services for clients, working across full-stack development while collaborating directly with stakeholders.
Senior software consultant builds and integrates ecommerce platforms, storefronts, and APIs for clients, advising stakeholders and solving business challenges with full-stack development.
Senior backend developer building and maintaining high-availability Java/Spring Boot microservices on AWS that handle millions of customer records for a gaming-industry customer data platform.
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+…
Build and maintain Lunar’s real-time data platform using Flink, Iceberg, and Kubernetes, enabling self-service analytics for the bank’s teams.
Build and maintain high-scale, privacy-preserving data pipelines using Python/Go/Scala, Spark, and cloud infrastructure to support analytics and AI workloads.
Builds and maintains data connectors and pipelines for brand, adtech, and marketing data using SQL, Python/Scala, and platforms like Databricks or Snowflake.
Build and maintain data pipelines that feed VML’s Open Intelligence platform, focusing on adtech/martech data connectors, SQL-based pre-aggregation, and cloud-native tooling.
Build and maintain high-scale data pipelines and edge services for WPP’s AdTech platform, handling tens of thousands of requests per second using Python/Go/Scala, Spark, and Kubernetes.
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
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