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Azure Data Engineer: Spark & Databricks Pipelines (Lahore)
Builds Azure-based data pipelines with Databricks Spark and Data Factory, then surfaces insights via Power BI dashboards for analytics and reporting.
Senior Lakehouse Migration Data Engineer
Design and build production pipelines to migrate a legacy Hadoop warehouse to a modern lakehouse using Spark, Iceberg, and Airflow for core analytics.
Senior Lakehouse Data Engineer – Migration Specialist
Build and migrate data pipelines from legacy Hadoop to a modern lakehouse using Spark, Iceberg, and Airflow to power core analytics and reporting.
Data Engineer (Azure Platform)
Builds and maintains Azure-based data pipelines and warehouses, writes PySpark jobs on Databricks, and delivers BI dashboards for analytics and reporting.
Data Engineering & Warehousing Engineer
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Big Data Engineer — Informatica, Hadoop & Spark
Designs and builds scalable data pipelines using Hadoop, Spark, and Informatica to integrate and process enterprise data with ETL/ELT workflows.
Senior Data Engineer – AWS
Design and build scalable AWS-based data pipelines and warehouses using Glue, EMR, Redshift, and Lambda to enable analytics and BI teams.
Senior Data Engineer: Spark, Airflow & Lakehouse
Build and maintain end-to-end data pipelines using Spark and Airflow, containerize code with Docker/Kubernetes, and enforce data quality in a lakehouse architecture.
AI/ML Engineer
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining cloud-based ML pipelines on AWS/Azure/GCP.
Senior Data Engineer
Build and maintain scalable data pipelines using Kafka, Spark, Flink, and cloud orchestration tools, containerized on Kubernetes, to power real-time and batch analytics for a product-focused team.
Data Engineer
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
Senior Data Engineer
Design and optimize ETL pipelines and data workflows using SQL, Spark, and Python to power AI-driven lending decisions for Pakistan’s digital finance infrastructure.
Senior/Staff Software Engineer - Pakistan
Build and scale the core infrastructure for Vectara’s enterprise RAG platform, focusing on backend services, DevOps, and ML workloads using Go, Python, or Java.
Senior Software Engineer - Data Engineering & AI
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them via MLOps, and maintains cloud-based data infrastructure for intelligent applications.
Senior Data Engineer
Designs and maintains data pipelines using Spark, Airflow, Kafka, and Iceberg tables, deploying via GitLab CI/CD on Kubernetes.
Data Engineer: Build Scalable Pipelines & Analytics
Builds and maintains scalable data pipelines and analytics infrastructure using AWS/GCP/Azure, Spark, SQL, and Python for ML and reporting.
Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Data Engineer – Lakehouse Migration (Spark/Iceberg)
Build and migrate data pipelines to a modern lakehouse using Spark and Iceberg, replacing a legacy Hadoop warehouse while maintaining core reporting systems.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, integrating sources with ETL/ELT workflows to power analytics and AI while ensuring data quality, security, and governance.