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Design, build, and optimize enterprise ETL/ELT pipelines using SSIS, Informatica PowerCenter, and Python to move and transform financial data across on-prem and cloud systems.
Azure Data Engineer designing scalable data pipelines, building RESTful APIs for data integration, and managing containerized workloads on Kubernetes (AKS) using Azure Data Factory, Databricks, Synapse, and CI/CD practices.
The Lead Software Engineer will design, build, and maintain scalable data-intensive services and applications for financial indices using Python and AWS. This hands-on role involves leading technical architecture, mentoring team members, and ensuring high-quality software delivery through modern engineering practices.
Builds and maintains scalable data pipelines in Microsoft Azure using Python, SQL, Spark, and PySpark to process and transform large datasets for analytics, reporting, and machine learning.
12-month temporary data engineering role maintaining a cybersecurity security data lake on Azure Databricks, building automation for data ingestion, transformation, quality control, and API-based governance.
Build and operate production ML models and AI-driven systems for anomaly detection across Disney's streaming platforms (Disney+, Hulu, ESPN). Core tech: Python, PyTorch, FastAPI, MLflow, AWS/EKS, Docker, and time-series data processing.
Data Engineer building and maintaining scalable data pipelines and infrastructure using Databricks, PySpark, Python, SQL, and Delta Lake to support Eli Lilly's scientific and business initiatives.
Report Developer designing and deploying ~100 reports for a stock trading system using PySpark, SQL, and reporting tools like Power BI/Tableau, collaborating with bank stakeholders on UAT and production deployments.
Data Engineer building and maintaining scalable ETL/data pipelines on Databricks and Azure, integrating diverse data sources to support analytics and ML workloads.
Cloud Engineer designing, deploying, and managing cloud infrastructure on AWS/Azure, including monitoring, security, troubleshooting, and automation using Python, PowerShell, or Bash.
Data Engineer designing and building batch/streaming data pipelines on AWS and Databricks using SQL, Python/PySpark, and Delta Lake with Bronze/Silver/Gold layered architecture.
Builds and optimizes data pipelines to extract, transform, and load client data for analytics, using tools like PySpark, SQL, and ETL systems to support reporting and decision-making.
Senior Data Engineer building and maintaining scalable data pipelines on AWS (Databricks, Airflow, Step Functions, Glue, Redshift, S3) using Python, PySpark, and SQL within Toyota's Supply Chain fusion teams.
Build and optimize a Microsoft Fabric data platform, including pipelines, Lakehouses, Warehouses, and semantic models, while improving automation and DevOps processes.
Software Engineer II building and operating production ML models and AI-driven anomaly detection systems for Disney's streaming ecosystem (Disney+, Hulu, ESPN) using Python, PyTorch, FastAPI, and AWS.
Senior Software Engineer building and maintaining data pipelines for SailPoint's CIEM product, using Golang, Pyspark, Flink, Kafka, and cloud services (AWS, Azure, GCP).
Senior Data Engineer leading data pipeline and platform development for mission-driven government clients, using Python, SQL, PySpark, Databricks, Azure, and Palantir Foundry in an agile, on-site Atlanta role.
Data Engineer (IT Analyst II) building and maintaining batch and near-real-time data pipelines on Azure/AWS using Databricks, Data Factory, PySpark, SQL, and Python for Santander's digital services arm (F1RST).
Data engineering advisor responsible for implementing and maintaining a cybersecurity data lake on Azure Databricks—building ingestion pipelines, API modules for governance, and automated data quality controls.
Data Analyst on the Health Marketing Analytics team mining data for business insights, analyzing trends, and supporting marketing campaigns using SQL, PySpark, and AWS Cloud Services.
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