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Leads complex enterprise data and AI strategy for Databricks’ largest customers, designing scalable architectures (multi-workload, real-time, AI/ML) and mentoring teams to drive platform adoption and revenue growth.
Designs and scales data/AI solutions for enterprise customers using Databricks' platform, acting as a trusted technical advisor to drive adoption and business value.
Responsibilities Peraton is seeking a Senior Software Test Engineer to join our team of qualified, diverse individuals. The ideal candidate is a senior testing professional who thrives in dynamic environments, provides…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Brazil. This is an opportunity to take a senior role in…
Builds and operates scalable data pipelines and platforms for a fast-growing fintech company, using modern tools like Databricks, Spark, and AWS to support banking services and fraud detection.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Intermediate Data Engineer based in Brazil. This is an opportunity to contribute to…
Remote Data Engineer managing data pipelines and analytics using Python, SQL, AWS, Snowflake, and Airflow.
Design and develop scalable Azure data solutions using Databricks and PySpark. The role involves building ETL pipelines, managing Delta Lake architectures, and integrating data sources.
Senior Data Engineer for a hybrid project in Madrid, utilizing PySpark, SQL, and AWS to manage data infrastructure and processing tasks.
Transition core data platform to Azure, manage ingestion, and introduce streaming using Python, SQL, and Spark for a hedge fund partner in Madrid.
Lead teams and build cloud data solutions using Python, GCP (BigQuery, Dataproc, Cloud Composer), Airflow, and PySpark. Ensure quality and collaborate with senior stakeholders in a multicultural environment.
Azure Data Engineer for data migration and transformation projects using Data Factory, Synapse, and ADLS. Requires 4+ years of experience, advanced English, and mastery of Azure SQL and PySpark.
Data Engineer designing and delivering Microsoft Fabric and Azure data solutions, building pipelines with Python/PySpark and SQL for enterprise clients.
Lead data engineering projects and technical teams using Python, GCP (BigQuery, Dataproc), Apache Airflow, and Spark to build scalable data solutions.
Build and maintain data warehouses and marts for a securities platform, designing clear data models and pipelines to support analytics and reporting for stock trading services.
About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a…
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total…
An Azure Data Engineer in Chennai responsible for data pipelines using Azure Data Factory, Databricks, Python, and PySpark. The role involves ETL processes, SQL tuning, and data warehousing concepts.
Design, build, and maintain data transformation pipelines using AWS services, Python, PySpark, and Databricks. Manage large datasets and databases like PostgreSQL or MongoDB while participating in code reviews and deployment processes.
This role involves designing and building data pipeline architectures (ETL/ELT) using SQL, AWS, and Azure, managing data models, and creating executive dashboards to support business insights and data infrastructure needs.
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