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Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI venture.
AWS Data Engineer
Design and maintain scalable AWS data pipelines using PySpark, AWS Glue, and Lambda to enable analytics and business intelligence.
Senior Data Engineer - AVP
Build and maintain cloud-native data pipelines, lakehouses, and real-time streaming systems using Spark, Iceberg, and cloud services to modernize a bank’s data infrastructure.
M11 - Data Engineer
Build and maintain scalable ETL/ELT pipelines using SSIS, Snowflake, Python, and cloud tools to move and transform data for analytics and products.
Junior Data Engineer: Build Scalable ETL Pipelines for AI
Build and maintain scalable ETL/ELT pipelines using SQL and PySpark to feed AI and analytics systems in a cloud-based data platform.
Junior Data Engineer
Build and maintain ETL/ELT pipelines and PySpark jobs to feed AI and analytics platforms; write SQL, validate data, and troubleshoot issues in a cloud-based data stack.
Data Engineer - Cognizant
Build and maintain scalable data pipelines using PySpark, AWS Glue, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Data Engineer: Scalable Pipelines & Data Solutions
Design and maintain scalable data pipelines, ETL/ELT processes, and data warehouses to support analytics and BI applications.
Data Engineer [Cloud]
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Data Engineer: Build Pipelines, Data Lakes & Insights
Designs and builds data pipelines, lakes, and infrastructure on Google Cloud to support analytics and insights for social enterprises and family-needs projects.
Senior Data Engineer (Java/SQL)
Builds scalable data pipelines and backend services using Java, SQL, and Scala to power analytics and reporting for a fintech company.
Databricks Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics.
Data Engineer
Design and maintain scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI startup.
Databricks Certified Data Engineer
Design and maintain scalable data pipelines and platforms using Databricks, PySpark, and cloud ecosystems for enterprise clients across multiple industries.
Data Engineer (IT Consultancy, AWS)
Build and maintain scalable data systems, design ETL/ELT pipelines, and optimize data quality using AWS, Python, SQL, and Spark for analytics and ML workloads.
DATA Engineer
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Data Engineer
Build and maintain scalable data pipelines and warehouses, optimize ETL workflows, and ensure data quality for analytics and ML using SQL, Python, Spark, and cloud AI tools.