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Job Summary We are seeking an experienced AI Automation Engineering Manager to lead our AI and automation initiatives across the organization. This role is responsible for managing a team of AI Automation Engineers,…
Builds and maintains scalable data pipelines using SQL and big data tech to support analytics and data-driven decisions.
Build and maintain ETL pipelines and data storage systems in AWS to power a B2B e-commerce platform serving Pakistani SMEs.
Design and build secure, scalable data pipelines and infrastructure for ADAPT, a real-time energy-sector platform, using Azure services to enable live analytics and automation across maintenance and supply-chain operations.
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 for analytics and AI/ML in healthcare, ensuring data quality and compliance while collaborating with cross-functional teams.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Builds and maintains data pipelines and warehouses on Azure/AWS using Python, Spark, SQL, and NoSQL to ingest and process structured/unstructured data for manufacturing clients.
Lead the design, governance, and scaling of a data lakehouse (SAP BDC/Databricks) and deliver predictive analytics/AI use cases to drive business decisions.
Designs and maintains scalable data platforms and ETL/ELT pipelines for enterprise data warehouses using Spark, Kafka, and cloud services like BigQuery.
Build and scale data pipelines connecting marketing APIs to power an AI-driven marketing platform, ensuring reliability for thousands of users.
Lead a data engineering team to build sales-focused data products, implement AI enhancements, and drive B2B sales cycles for a mobility company.
Lead a team building sales-focused data products and AI-driven analytics for a logistics platform, modeling data flows and partnering with sales, product, and marketing teams.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions, optimizing delivery routes and customer experiences.
Design and maintain scalable ETL/ELT pipelines and data platforms using cloud tools, SQL, Python/Scala/Java, and big data tech like Spark and Kafka.
Lead the design and implementation of enterprise data platforms, data architecture, and BI systems for a pharmaceutical company, ensuring scalable, secure, and high-performing solutions.
Senior Data Engineer builds and maintains AWS-based data pipelines using Redshift, Oracle PL/SQL, and PostgreSQL, optimizing queries and ETL workflows for scalable analytics.
Build and deploy AI-powered applications using LLMs, RAG pipelines, and vector search. Integrate LLM APIs into production systems with Python and cloud tools.
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