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Hybrid Cloud Data Engineer – AWS & Big Data Pipelines
Designs and maintains cloud-based data pipelines using Python, AWS services, and big data formats like Apache Parquet and ORC.
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.
Cognos Data Engineer (Senior to Lead)
Senior to Lead Data Engineer builds and optimizes IBM Cognos reports, dashboards, and data models for business intelligence, using SQL and Oracle databases.
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.
Senior Data Engineer
Senior Data Engineer builds and scales real-time data pipelines on AWS to process grid sensor data, enabling utilities to meet rising electricity demand from AI data centers and electrification.
Data Engineer - Python
Builds and maintains Python-based data pipelines and databases to power real-time analytics and business decisions.
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.
Data Engineer-Mid
Builds and maintains databases and data pipelines using SQL and Python to power real-time analytics and business decisions.
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.
Senior Data Engineer (Databricks & Azure)
Build and optimize scalable data pipelines on Databricks and Azure, using PySpark, Python, and SQL to power analytics and reporting for the organization.
Contractual: Data Engineer (Hybrid - BGC)
Design, build, and optimize scalable data pipelines and ETL workflows to support business intelligence and data-driven decisions using Python and SQL.
Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Senior Data Engineer
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Data Engineering Lead (Snowflake/Databricks)
Lead a team to build and optimize scalable data pipelines using Snowflake, Databricks, and Kafka, ensuring security, governance, and performance for a global fast-food company.
Data Engineer - Build Scalable Data Pipelines & Insights
Designs and maintains scalable data pipelines and systems to transfer and transform data efficiently for insights.
Lead Data Engineer
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Azure Data Engineer
Design and maintain Azure-based data pipelines and Medallion Architecture using PySpark, Azure Databricks, and Data Factory to clean, transform, and deliver enterprise reporting data.