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Senior Data Engineer
Build and evolve a global data platform using Microsoft Fabric, lakehouse architecture, and Azure, designing scalable pipelines and reusable data models for analytics and AI.
PySpark Data Engineer
Senior PySpark Data Engineer builds and optimizes data pipelines in cloud environments (AWS/Azure) using PySpark, Hadoop, and SQL Server for clients across industries.
Senior Data Engineer
Senior Data Engineer builds and scales a global data platform using Microsoft Fabric, designing lakehouse pipelines, governance standards, and modern engineering practices for analytics and domain-driven data products.
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, and SQL.
Data Engineer - Streaming & Batch Pipelines
Build and run real-time and batch data pipelines on AWS using Kafka, Spark Structured Streaming, Delta Lake, and Glue; focus on reliability, performance, and ML feature prep.
Data Engineer
Design and maintain scalable data pipelines and ETL/ELT workflows using Databricks, Azure Data Factory, and PySpark for cloud-based data platforms.
Data Engineer
Build and maintain enterprise-grade data pipelines and analytics platforms using Microsoft Fabric, Databricks, and Power BI to enable cost-management reporting and data-driven decisions.
Data Engineer (Spark)
Build and maintain data pipelines using Spark, PySpark, and AWS services to process batch and real-time data for clients.
Lead Data Engineer
Lead Data Engineer defines data processes, ensures end-to-end traceability, and bridges business needs with technical teams in a banking client, using Airflow, PySpark, Kafka, and AWS.
Credit Data Engineer
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
Cloud Data Engineer
Designs and maintains cloud-based data pipelines and warehouses using Python, PySpark, SQL, and Databricks to power analytics and ML on Microsoft Azure.
Azure Data Engineer
Build and optimize Azure-based data pipelines and architectures, implementing scalable cloud solutions with Azure Data Factory, Databricks, and PySpark.
Azure Data Engineer
Build and optimize Azure-based ETL pipelines using Python, PySpark, and Azure Data Factory to migrate streaming data to batch storage in ADLS.
Data Engineer Intern
Build and maintain cloud-based data pipelines using Azure services (Fabric, Synapse, Data Lake) and Python/SQL to turn raw data into insights for clients.
Data Engineer (Databricks)
Senior Data Engineer to build and maintain a Databricks-based data platform for dynamic pricing and BI in high-volume retail, using Medallion architecture, PySpark, and Azure Data Factory.
Data Engineer Azure
Build and optimize Azure-based data pipelines and cloud architectures, using Azure Data Factory, Synapse, PySpark, and Medallion/Lakehouse patterns to move and transform data securely and at scale.
Data Engineer Databricks
Build and optimize scalable data pipelines on Databricks using the Medallion architecture, SQL, and PySpark to deliver modern data solutions for enterprise clients.
Azure Data Engineer
Designs and builds scalable Azure data pipelines with Databricks, Synapse, and Data Factory to process batch and streaming data for analytics and AI models.
Data Engineer (Databricks)
Build and maintain big-data pipelines for a banking client using Python and PySpark in Databricks environments.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks, implementing Medallion architecture and SQL transformations for enterprise clients.