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GCP Data Engineer
Builds and optimizes GCP-based ETL pipelines, migrates legacy data (SQL/Oracle), and manages data governance (masking, encryption) using Cloud Dataflow, BigQuery, and Python.
Data Bricks - Data Engineer
Designs and deploys Databricks-based data pipelines and platforms on Azure, guiding clients through big-data and AI transformations using Spark SQL and Agile practices.
Data Business Analyst
Collaborates with business and tech teams to capture requirements, translate them into technical specs, and document data architecture using tools like Azure Synapse, Power BI, and SAP S/4HANA.
Data Engineer-Azure
Design and build cloud-native data solutions on Azure Synapse Analytics, including monitoring, security, and performance tuning for data warehouses and lakes.
Application Support Analyst - AWS Data Lake/Python
Application Support Analyst - AWS Data Lake/Python • Design, Develop, Test and Maintain Applications. (includes User Administration, Installation & Configuration) • Good Understanding of AWS Data Lake and Python…
Product Owner (PO) de BI / Data Analytics
Lead the BI and data-analytics product roadmap, turning raw data into dashboards and predictive insights that drive faster, data-driven decisions across finance, supply, and commercial teams.
Senior Data Engineer (Azure & Microsoft Fabric)
Design and build scalable data pipelines and architectures using Azure, Microsoft Fabric, and Python to enable analytics and reporting for enterprise clients.
Databricks Data Engineer
Build and optimize Databricks pipelines for a Data Vault architecture, migrating from Azure Synapse while ensuring data quality and governance.
Business Analyst (BA) | Dados
Bridge business and tech teams to define data-driven requirements, model processes, and support BI/analytics projects in a logistics/mobility context.
Senior AI Engineer (Agentic Systems & LLM Architecture)
Build and scale an agentic AI platform for the global hospitality industry, designing multi-agent workflows, LLM pipelines, and a data lake to automate MICE processes and power predictive revenue tools.
Data Engineer & Analyst| Karachi| Onsite| Salary in PKR
Senior Data Engineer builds scalable pipelines and Power BI reports using Microsoft Fabric and Azure for a UK-based real-estate developer in Karachi.
Real-Time Data Engineer — Data Lakes & Warehouses
Designs and implements data ingestion frameworks for batch and real-time streams, building scalable data warehouses and lakes to support low-latency analytics.
Data Engineer
Designs and builds batch and real-time data pipelines using AWS Kinesis, Kafka, and data warehouses/lakehouses for low-latency analytics.
Full Stack Developer (Generative AI)
Build and deploy cloud-based Generative AI applications using Python/.NET on Azure, integrating LLMs, RAG, and agent frameworks, with React/Next.js for frontend when needed.
Data Analyst
Build Power BI dashboards and reports to analyze supply-chain data, automate workflows with Power Automate, and explore Azure Data Lake data for strategic decisions.
Data Engineer
Build and maintain Azure-based data pipelines and analytics-ready datasets for Alberta’s environmental regulatory platform, using Databricks, Synapse, and Python to support compliance and decision-making.
Data Engineer – Cloud & Analytics
Build and maintain a modern cloud data lake on Google BigQuery, automating ETL pipelines in Python/SQL to feed Salesforce and marketing systems for a large Italian bank.
DevOps Engineer
Senior DevOps Engineer designs, migrates, and operates AWS cloud platforms for enterprise clients, building scalable CI/CD pipelines and containerized workloads with Terraform and Docker.
Si eres un GCP Senior Data Engineer, ¡te proponemos un nuevo reto! (INSTRUCCIONES EN DESCRIPCIÓN) - Bluetab, an IBM Company
Build and optimize scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Dataproc with Scala or Python for high-impact projects.
Si eres un GCP Senior Data Engineer, ¡te proponemos un nuevo reto! (INSTRUCCIONES EN DESCRIPCIÓN)
Designs and optimizes cloud-native data pipelines on **Google Cloud Platform (GCP)**, leveraging **BigQuery, Dataflow, and Dataproc** to integrate, process, and govern large-scale datasets using **Scala/Python** for scalable, cost-efficient solutions.