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M13 - Data Engineer
Build and maintain AWS-based data pipelines and Redshift warehouses, using Glue, Lambda, and CI/CD to ingest, transform, and optimize data for scalable analytics.
Senior Data Engineer
Design and build AI-powered, cloud-based data pipelines and warehouses for telco and geospatial analytics, integrating 4G/5G infrastructure with retail and healthcare data using PySpark, Airflow, and AWS.
Data Engineer III - Python/Spark/AWS
Build and maintain scalable data pipelines and cloud-native analytics platforms using Python, Spark, and AWS services to support JPMorgan’s global consumer banking operations.
Senior Data Engineer (Cloud & GenAI)
Design and scale cloud data pipelines and platforms using Informatica, DBT, and Redshift to power analytics, BI, and GenAI use cases.
Data Engineer
Designs and builds scalable AWS and Databricks data pipelines for public-sector and enterprise clients, using PySpark, SQL, and real-time tools like Kafka to power analytics and decision-making.
Information Technology Consultant (AI Data Engineer (Cloudera to AWS Migration)
Build and migrate AI/ML pipelines from Cloudera to AWS, using Python, PySpark, and AWS services like Sagemaker and Glue to deploy scalable GenAI and ML models.
Senior Data Engineer, Compliance Data Infrastructure
Build and maintain scalable data pipelines for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
Junior Cloud Data Engineer
Build and maintain cloud-native data pipelines and RESTful APIs using Python, SQL, Spark, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer
Build and maintain scalable data pipelines, develop ML models, and analyze datasets to extract insights using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior / Data Engineer
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, merging datasets into a centralized warehouse and preparing data for AI/LLM tools.
Data Engineer [Cloud]
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Senior Data Engineer (Cloud & GenAI)
Senior Data Engineer builds and scales cloud data pipelines and warehouses (Redshift, S3, Glue) using Informatica, DBT, and Kafka to power analytics and GenAI use cases.
Data Engineer - Big Data
Design and maintain scalable data pipelines and cloud infrastructure to power analytics and AI use cases for a global gaming company.
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 data pipelines, ETL/ELT processes, and data models on Google Cloud to support analytics and decision-making for a retail enterprise.
Cloud Data Engineer
Designs and maintains cloud data pipelines and warehouses using AWS, Python, and SQL to feed analytics and ML models.
Data Engineer
Designs and builds cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and predictive modeling.
Data Engineer
Build and optimize cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica for healthcare analytics and AI/ML workloads.
Data Engineering Lead
Lead a cloud-first data engineering team to build and maintain robust data pipelines, migrate legacy systems to Snowflake and AWS Glue, and ensure high-quality data flows for analytics and reporting.