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Design and build scalable data pipelines and cloud-based data platforms using PySpark, Snowflake, and Databricks to support AI and analytics initiatives.
Senior Data Engineer builds and maintains ETL pipelines, data warehouses, and cloud-based data platforms using Microsoft SQL Server, Talend, and BigQuery to support analytics and business needs.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and datasets for analysts and scientists.
Teach data engineering fundamentals to adult learners, guiding them through Python, SQL, ETL pipelines, and big-data architectures to prepare them for industry roles.
Build and maintain robust data pipelines and cloud architectures (Azure/AWS/GCP) to enable analytics and AI use cases for enterprise clients, using Python, SQL, Spark, and tools like dbt and Airflow.
Build and scale a global Data Lakehouse on AWS to feed quant trading desks; write Python pipelines, model data in lake/OLAP, and tune distributed systems for low-latency access.
Senior Java Big Data consultant designs, builds, and optimizes large-scale data pipelines and Spark clusters for enterprise clients using Azure Cloud and on-prem systems.
Design and build Snowflake-based data warehouses and ETL pipelines for enterprise clients, using SQL and cloud tools to deliver clean, scalable data solutions.
Build and maintain scalable data pipelines and warehouses for analytics, using cloud tools like AWS and Snowflake, orchestration platforms such as Airflow, and data modeling best practices.
Build and maintain scalable data pipelines in Python/PySpark on AWS to ingest, transform, and expose market data for anomaly detection in a fintech setting.
Design and build scalable data pipelines, ETL/ELT workflows, and cloud data architectures for clients, ensuring data quality and security while enabling real-time analytics and digital transformation.
Build and own a scalable Azure-based data lake and analytics platform, from ETL pipelines to embedded BI and future ML/GenAI exploration for industrial clients.
Senior GCP Data Engineer designing BigQuery architectures and building scalable data pipelines for analytics and reporting.
Build and maintain scalable data pipelines, data lake/warehouse infrastructure, and dashboards while ensuring data quality, GDPR compliance, and DevOps/CI-CD practices.
Senior Data Engineer to build and optimize Databricks-based data pipelines, migrate data workloads, and ensure quality for a client’s data architecture.
Build and maintain cloud-based data pipelines using Databricks and cloud services to ingest, process, and expose data for a data lake.
Design and optimize AI/ML data pipelines for cloud-based data lakes and warehouses, ensuring data quality and CI/CD deployments while collaborating with Data, AI, and R&D teams.
Build and maintain ETL/ELT pipelines and data architectures (Data Lake/Warehouse/Lakehouse) to support analytics and AI projects in a collaborative team setting.
Designs, builds, and maintains big-data pipelines and Spark/Hadoop jobs for clients in finance, insurance, energy, and other sectors using Java, Scala, and Python.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
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