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Graduate Software Engineer role building scalable Python APIs, data pipelines, and financial systems using PostgreSQL, Kafka, and Kubernetes in a hybrid fintech environment.
Lead a small team to design, build, and deploy high-throughput Python microservices for an AI-powered knowledge-work automation platform, using FastAPI, Kafka, PostgreSQL, and Kubernetes.
Build and maintain Python microservices and APIs for an AI platform that automates knowledge work using a proprietary Large Work Model.
Senior Data Engineer builds scalable Python ETL pipelines and AI-driven data products, including RAG systems and vector databases, using Kubernetes and cloud services.
Senior DevOps Engineer maintains SailPoint’s Identity Security Cloud platform in the UAE, focusing on data store operations, Kubernetes, and AWS infrastructure to ensure high availability and compliance with local data sovereignty rules.
Builds and maintains data pipelines, ETL processes, and real-time data systems using Python, SQL, and cloud tools like GCP and Cloudera Hadoop.
Builds and maintains scalable data pipelines using Python, Spark, Airflow, and GCP for analytics and AI-driven workflows.
Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Lead a team to design, build, and maintain scalable data pipelines and warehouses, ensuring reliable analytics and ML-ready datasets using SQL, Python, and cloud tools.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Azure Data Factory and Databricks, optimizing for cost, speed, and data quality.
Design and build scalable AWS-based data pipelines and warehouses using Glue, EMR, Redshift, and Lambda to support analytics and BI teams.
Leads a team to design and maintain scalable data pipelines, ensuring clean, reliable data for analytics and decision-making using SQL, Python, and cloud services.
Principal Data Engineer builds and optimizes cloud data pipelines on Amazon Redshift and AWS, using Python, SQL, and Apache Airflow to deliver scalable analytics and high-performance warehousing.
Lead a team to design and build scalable data pipelines, ensuring clean, reliable data for analytics and decision-making using SQL, Python, and cloud services.
Lead design and implementation of real-time and batch data pipelines using PySpark, Kafka, and Azure, while optimizing lakehouse storage and mentoring engineers.
Build and maintain ETL pipelines and data storage systems in AWS to power a B2B e-commerce platform serving Pakistani SMEs.
Build and maintain scalable data pipelines for AI systems, including ETL/ELT, data quality checks, and warehouse/lake architectures using Python, SQL, and cloud tools.
Design and build data infrastructure—ETL pipelines, data warehouses, and streaming systems—using Python, SQL, and tools like Airflow, Spark, and Snowflake.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
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