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Data Engineer - DataBricks
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Data Engineer (Azure)
Builds and maintains data pipelines on Azure using PySpark, ADB, ADLS, and ADF to process and transform large datasets for enterprise clients.
Staff Data Engineer
Lead the design and build of large-scale data pipelines and platforms using PySpark, GCP, and Airflow to power analytics, AI features, and real-time measurement for a major retail and media company.
Data Engineer/Lead
Lead the design and build of scalable Azure data pipelines and data lake solutions using Databricks, PySpark, and SQL to migrate and process enterprise data.
Senior Data Engineer
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks to power analytics, AI, and customer-facing dashboards.
Senior Data Engineer
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks, designing production pipelines and reusable data products that power analytics, AI, and customer-facing dashboards.
Senior Data Engineer
Designs and builds Azure-based data pipelines and models, turning business needs into scalable, analytics-ready data products for BI and reporting.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable Azure-based data pipelines and warehouses, using PySpark, Azure Data Factory, and Fabric to turn raw manufacturing data into trusted insights for global roofing operations.
Senior Data Engineer (ETL & AWS)
Designs and builds scalable ETL/ELT pipelines on AWS, using Python, Spark, and Informatica to feed data warehouses and analytics platforms for a devtools-focused company.
Data Engineer | 5+ Years
Lead the design and maintenance of scalable data pipelines and ETL/ELT processes using Databricks, PySpark, and Apache Airflow to support analytics and product needs.
Data Engineer with GCP & AI Expertise
Design and build scalable GCP-based data pipelines and architectures to power advanced analytics and AI features for a large retail-tech team.
Data Engineer
Builds and maintains data pipelines using PySpark, SQL, and Databricks to feed analytics and dashboards in Tableau.
ETL Data Engineer - HYBRID
Design and maintain cloud data warehouses and ETL pipelines for banking systems, transforming financial data into trusted datasets for reporting and analytics using Python, Spark, and cloud platforms like Snowflake or Databricks.
Data Engineer
Build and maintain data pipelines using PySpark, Python, and cloud tools to ensure clean, reliable data for analytics and reporting.
Software Developer (AI)
Builds and tunes AI pipelines that ingest documents from systems like SharePoint, preps data for LLMs, and customizes model behavior for specific tasks.
Sr Data Engineer -
Build and optimize scalable data pipelines, ML workflows, and AI systems on Databricks using Spark, Delta Lake, MLflow, and Mosaic AI.
Data Engineering Lead and Data Engineers
Lead and build cloud data pipelines using Python, PySpark, SQL, and Databricks for enterprise banking systems, ensuring efficient ingestion, transformation, and analytics at scale.
Cloud Data Engineer
Design and build scalable cloud data pipelines and analytics solutions using Snowflake, Databricks, Python, and SQL for enterprise clients.
Data Engineering Developer
Build and maintain scalable data pipelines using Python, PySpark, Databricks, AWS, and Snowflake to feed machine learning and GenAI workloads in a large Canadian insurer’s data science lab.
Data Engineer
Build and maintain an AI-forward data platform using Databricks, Python, PySpark, and cloud services to power analytics and ML for life-sciences clients.