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About the Team We serve as Uber’s in-house executive search firm. Our team operates as strategic advisors to Uber’s highest levels of leadership, managing high-stakes searches with the precision of a top-tier retained…
Design, build and optimise a Databricks-based data platform using Spark, Delta Lake, Python and SQL, with IaC tools in Azure, enabling analytics and ML across a retail technology company.
Senior Data Architect leading the migration of client/contract data from a CRM to an internal master database and analytical warehouse (PostgreSQL + dbt), with Metabase BI, AI integration, and management of a Data Analyst across 7 European countries.
Builds and maintains geospatial data infrastructure to track Amazon’s environmental impact (carbon, water, waste) by designing pipelines, automating ETL/ELT processes, and enabling risk assessments using AWS tools and Python/Scala/Java.
Senior Data Engineer at Amazon designing and building large-scale AWS data products (Kinesis, Spark, EMR, Glue, Redshift) to measure, govern, and improve AI-driven seller interactions for millions of Amazon Selling Partners.
Build and maintain ELT pipelines and a clinical data warehouse in a regulated healthcare environment, using SQL, Python, dbt, and cloud data warehouses to transform clinical, lab, and sequencing data into validated, audit-ready datasets.
Remote BI Architect for a US company, responsible for designing enterprise data architectures, data warehouses, ETL pipelines, and BI solutions using SQL, Azure Data Factory, Power BI/Tableau, and Python/R. Must be based in Costa Rica with citizenship or work permit.
ABOUT US Smarter medicine starts here. PatientIQ is the leading outcomes intelligence platform for healthcare — purpose-built to help health systems, specialty practices, medical device companies, and medical societies…
Early-career Data Engineer building scientific data products and scalable data pipelines using Databricks, SQL, Python, and AWS to support AI/ML and analytics across pharmaceutical product development in Hyderabad.
Designs, develops, and maintains data platforms and pipelines to ensure data quality, security, and reliability for fintech operations, integrating on-premises and cloud systems.
Lead Data Engineer building data pipelines, relational databases, and Azure cloud infrastructure while integrating LLM APIs to power AI-enhanced internal tools at a climate/energy non-profit.
CSP is the industry leader in the formulation and molding of lightweight, advanced composite components for the transportation industries. As an innovative, full-service Tier One supplier, we offer an entrepreneurial…
Build and maintain Tableau dashboards and data pipelines, transforming raw data into analytics-ready datasets and optimizing Snowflake queries for business reporting.
Data Engineer building and optimizing ETL/ELT pipelines on an open-source, AWS-based stack (dbt, ClickHouse, Airflow/Dagster, Python, SQL) for an ad intelligence platform, migrating away from Azure Databricks.
Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of relevant experience in data engineering roles with primary skills on…
Lead a data science team at Signature Aviation while staying hands-on building ETL pipelines, machine learning models, and AI-driven analytics solutions using Python, SQL, and Databricks to improve aviation operations and business outcomes.
Design and deliver Power BI analytics solutions using Databricks SQL, partnering with business teams at Cineplex to build dashboards, optimize reporting, and drive data-informed decision-making.
The Senior Data Analytics Developer will design, develop, and maintain enterprise data models and analytics solutions using Power BI and Snowflake. This role involves migrating legacy BI systems, building ELT processes, and collaborating with stakeholders to support data-driven decision-making.
Build and deploy AI products—query assistants, report summarizers, multi-agent chatbots—for a Vietnamese securities firm (ACBS), using Python, LLM agent frameworks, RAG pipelines, and cloud infrastructure (AWS/GCP).
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