Tech jobs
Job listings
AI / Machine Learning Engineer
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Databricks Data Engineer: Build Scalable ETL Pipelines
Design and maintain scalable ETL pipelines using Databricks, Python, and SQL to ensure reliable data solutions in a cloud environment.
Data Engineer( up to 200K php)
Builds and maintains ETL pipelines and data models using Airflow and dbt to transform raw data into clean, governed layers for analytics and reporting.
Data Engineer - Databricks Unified Data Analytics
Designs and maintains Databricks-based data pipelines and ETL processes using PySpark and SQL to ensure clean, accessible data for analytics and reporting.
Azure Data Engineer: Fabric Lakehouse & Pipelines
Designs and maintains Azure-based data pipelines and lakehouse architectures, ensuring data quality and reliability for analytics using ETL processes.
Data Engineer - ETL, Informatica & Analytics
Designs and builds ETL pipelines using Informatica Power Center to move and transform financial data, ensuring quality and enabling analytics for ING’s operations.
Data Engineer: Build Scalable Data Platforms
Designs and builds scalable databases and ETL pipelines, enabling data scientists to analyze and optimize systems using SQL and programming.
Senior Data Engineer: Architect Scalable Pipelines & Governance
Senior Data Engineer designs and builds scalable data pipelines and architectures to support analytics and AI initiatives at Spin.
Analytics Data Engineer: SQL, Python, & Cloud Pipelines
Builds and maintains data pipelines, ETL processes, and analytics dashboards for a fintech lending platform using SQL, Python, and cloud tools.
Senior Data Engineer - Consumer Data Platform
Build and maintain P&G’s consumer data platform, designing scalable APIs, ETL pipelines, and BigQuery warehouses to power analytics and BI dashboards.
Data Engineer - SME (Databricks) - Hybrid
Leads data engineering initiatives, migrates systems to Azure Databricks, and guides the team on Python, ETL, and data architecture best practices.
Senior Data Engineer - Data Intelligence , SPX Express
Designs and maintains large-scale data warehouses and ETL pipelines for a logistics company, ensuring scalable, resilient infrastructure and high data quality.
Senior Data Engineer - Azure Databricks & Spark
Build and maintain large-scale data pipelines using Azure Databricks, Spark, and PySpark, optimizing performance for TB-scale processing and collaborating with cross-functional teams.
Senior Data Engineer: Lakehouse & NebulaGraph Architect
Designs and builds scalable data architectures using Apache Iceberg, NebulaGraph, Spark, and Airflow to ensure traceable, governed, and accessible data pipelines.
Azure Data Engineer: Build Scalable ETL Pipelines
Designs and maintains Azure-based ETL pipelines to move and transform data for analytics and reporting.
Snowflakes Data Warehouse (Data Engineer)
Designs and maintains data pipelines, ETL processes, and data warehousing solutions using Snowflake and related tools to ensure reliable data flow and quality.
Senior Data Engineer - Scalable Pipelines & Cloud Analytics
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Azure Databricks Data Engineer: Scale ETL Pipelines
Builds and scales ETL pipelines on Azure Databricks using SQL and Python to move and transform data for business needs.
Data Engineer — Databricks & AWS ETL Pipelines
Builds and maintains scalable ETL/ELT pipelines on Databricks and AWS to transform raw data into business-ready datasets for reporting and analytics.
Data Engineer (Hybrid) — Build Scalable Pipelines & BI
Design and maintain scalable data pipelines and ETL/ELT processes to support analytics and BI initiatives in a hybrid role.