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Build and optimize large-scale Apache Spark data pipelines in Scala/Python for a global IT services provider, ensuring performance and reliability across distributed systems.
Build and automate the next-gen analytics platform for a deskless-workforce SaaS, using BigQuery, dbt, Python, and AI-driven tooling to power scalable, self-serve data access.
Build and maintain healthcare AI data infrastructure, designing scalable models and pipelines to analyze clinical outcomes and demonstrate product value for hospitals worldwide.
We are looking for a Senior Data Engineer with strong experience in designing and developing cloud-native data solutions within AWS and Snowflake environments. You will join an Agile Scrum team and be responsible for…
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Designs and optimizes Snowflake-based ETL pipelines using Airflow and dbt, ensuring high-performance data processing, automated testing, and zero-downtime BI integrations while managing PII governance and collaborating with the Lead Data Engineer.
Designs, tests, and optimizes ETL pipelines in Snowflake using Airflow and dbt, ensuring zero-downtime analytics and migrating scheduled jobs.
Build and maintain GCP-based data pipelines and warehouses (BigQuery, Cloud Functions, dbt) and automate reporting and dashboards for a fintech/insurance product.
Builds and maintains data pipelines using AirFlow, Python, Spark, Trino, and Kubernetes to process and analyze large datasets.
Job Title: Senior Azure Data & Integration Engineer (ADF, SSIS, APIs, iPaaS) - (CF0011) Location: Calabasas, CA. 91302 (Hybrid) Employment Type: Permanent Business Unit: Corporate IT Posting Date: 04/13/2026…
Our client, a major bank in New York City, is looking for Senior Production Support Manager - Market Risk Technologies Executive Director Level New York City Location. This is hybrid commute, 5 days per 2 weeks in the…
Build and maintain data pipelines, ETL/ELT workflows, and analytics platforms using Azure, Databricks, and Airflow to support AI, e-commerce, and BI solutions for enterprise clients.
Build and refine Python-based data pipelines to reliably deliver scalable, reusable data for government registries, ensuring high-quality dataproducts for public-sector use.
Designs, builds, and optimizes scalable data platforms and pipelines using cloud tools (Azure/AWS), Python, SQL, and modern data stack (Databricks, Snowflake, Kafka, Airflow).
Senior Data Engineer builds and optimizes scalable data pipelines in Python, deploys and maintains Kubernetes-based infrastructure, and designs reliable APIs to deliver trusted data products for government services.
Build and maintain scalable data pipelines and APIs in Python using PostgreSQL/Oracle, orchestrate workflows with Airflow/Prefect, and containerize with Kubernetes to deliver reliable dataproducts for the Dutch land registry.
Builds and maintains a data warehouse for a Dutch pharmacy group, integrating external data sources with Python, Airflow, and Superset to deliver business insights.
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, modernizing pipelines and enabling analytics and ML for wealth management.
Design and maintain data infrastructure for ingestion, orchestration, and transformation, build analytical models, and deploy ML solutions for a fintech wealth-management platform.
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, ingesting and transforming raw data into scalable analytics and supporting ML implementations.
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