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HCHP: Senior Data Engineer
Design and build scalable cloud-native data pipelines and analytics-ready datasets using Azure, Databricks, PySpark, and Delta Lake to support enterprise reporting and analytics.
Data Engineer (Databricks, AWS)
Build and maintain scalable data pipelines using Databricks, Python, and SQL to move and transform large datasets across cloud platforms like AWS and Azure.
Data Engineer (Azure Databricks)
Build and maintain scalable data pipelines on Azure Databricks using PySpark and SQL, enforce governance with Microsoft Purview, and integrate analytics via Microsoft Fabric.
Senior Data Engineer / Analyst
Build and maintain data pipelines, reports, and dashboards to support lending, marketing, and operations at a fintech focused on financial inclusion.
Lead Azure Data Engineer
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Senior Snowflake Data Engineer
Design, deploy, and optimize Snowflake data warehouses and infrastructure using Terraform, ensuring secure, high-performance analytics for cross-functional teams.
Data Engineer Associate Manager
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Databricks Data Engineer (Hybrid) — Pipelines & Quality
Designs, builds, and maintains Databricks-based data pipelines in Python to integrate and transform data while ensuring quality and reliability.
Data Engineering Lead: Snowflake & Databricks Expert
Design and build scalable data pipelines using Snowflake, Databricks, and real-time streaming; mentor junior engineers and collaborate with cross-functional teams.
Power BI - Data Engineer
Designs and builds data pipelines using Power BI, Azure Data Factory, Databricks, and Python to deliver business insights and automate reporting.
Senior Data Engineer Bilingual
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer (MSP)
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Senior Data Engineer (Hybrid Setup)
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Data Engineering Manager — Databricks & BI Lead
Leads a team building and optimizing scalable data pipelines on Azure Databricks and Microsoft Fabric to power BI and AI use cases across enterprise platforms.
Data Engineer (PH)
Build and maintain scalable data pipelines on Databricks and AWS, focusing on ETL, real-time streaming with Spark/Kafka, and cloud infrastructure optimization.
Sr. Data Engineer
Builds and maintains automated data pipelines using Spark, Kafka, Airflow, and cloud platforms like Azure or AWS to integrate and process large-scale data for AI-driven analytics.
Data Engineer (Databricks)
Design and maintain data pipelines, ETL processes, and Databricks-based analytics to ensure efficient data flow and quality for Xurpas’s data strategy.
Databricks Data Engineer
Build and optimize data pipelines on Databricks, troubleshoot data quality issues, and document workflows while collaborating with cross-functional teams.
Databricks Data Engineer
Build and optimize Databricks-based data pipelines in Python, ensuring clean data flow and troubleshooting quality issues while collaborating with cross-functional teams.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.