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Leads the design and maintenance of data pipelines, warehouses, and lakes for a large bank, ensuring accurate, secure, and accessible data while collaborating with data scientists on ML models.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business…
.Experience implementing container orchestration using Kubernetes / EKS. · Knowledge of cost optimization, FinOps practices, and cloud governance. · Exposure to multi-account AWS setups using Control Tower,…
Hands-on Staff Data Engineer (50%+ coding) at Early Warning (Zelle), architecting and building scalable data platforms, lakehouses, and ML pipelines using Snowflake, Databricks, Python/PySpark on AWS.
Job Description Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
Consultant Data Engineer specializing in Databricks to lead client migration projects, designing scalable data pipelines, and ensuring data quality/performance. Core tech: Databricks, Spark, cloud platforms, Python, SQL, and Agile methodologies.
Migrate a SQL Server enterprise data warehouse and SSIS integration layer from Azure to AWS, preserving 600+ stored procedures and 1,060 pipeline dependencies while maintaining ODS→EDW→BI workflows.
Technical project manager leads hospital pharmacy data integrations, validating and loading EMR/ADC data into the Bluesight platform while coordinating internal teams and customer stakeholders.
Design and build secure, governed AWS data lakes and pipelines for a global investment firm, using Python, PySpark, Athena, Iceberg, and Terraform.
Якщо ти мрієш працювати в індустрії, де драйв, азарт та інновації йдуть пліч-о-пліч — приєднуйся до нас і допоможи нам творити магію! Що потрібно від тебе: 5+ років досвіду на позиції DevOps Engineer Управління хмарною…
Build and maintain ETL/ELT pipelines, data models, and AI-ready datasets for an insurance tech platform using cloud data tools and Python/SQL.
Builds and maintains a unified data platform for AST SpaceMobile’s global cellular network, blending real-time telemetry and commercial data. Owns ingestion, storage, transformation, and governance across streaming (Flink) and batch pipelines while enabling BI, reporting, and AI/ML use cases.
Build and maintain dbt data models in Snowflake to power analytics and AI across government ERP products, owning pipelines from ingestion to CI/CD deployment.
AWS Data Engineer building configuration-driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift for a banking/financial services context, with responsibilities spanning CI/CD automation, automated testing, and monitoring dashboards.
The Senior Principal Data Architect will design and maintain enterprise data architecture strategies using AWS and the Databricks Lakehouse ecosystem. This role involves leading data governance, mentoring teams, and integrating generative AI tools into daily data modeling and pipeline development workflows.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data models to support cloud cost visibility and performance insights. The role involves using SQL, Python, and cloud-native tools like AWS and Snowflake to build actionable data systems for cross-functional teams.
Build and scale Sapiom’s payments-grade data infrastructure, designing ETL pipelines, schemas, and governance to power real-time agent transactions and AI-driven analytics.
Data Engineer II building and operating scalable ETL pipelines and data infrastructure for Amazon's FBA Central Analytics, using Spark/PySpark, dbt, Airflow, and SQL on AWS.
Data Engineer on Amazon's SmartCommerce team designing, building, and maintaining data solutions and ETL pipelines using SQL, Python, and AWS infrastructure for the SmartBiz e-commerce platform.
Designs and maintains scalable data pipelines for Prime Video Advertising, processing streaming/batch data (structured/unstructured) via AWS tools (Glue, Redshift, EMR) and frameworks like Spark/Airflow to enable analytics and ad-targeting insights.
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