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Design and maintain scalable analytics pipelines and ETL workflows using AWS services to ensure reliable data delivery for engineering teams.
Designs and maintains scalable analytics pipelines using AWS, SQL, and big-data tools like Hadoop and Spark to power data-driven solutions.
Data Engineer Interns assist with data collection, cleaning, and basic transformation, work with SQL/Python, and help build simple data pipelines in a night-shift onsite role.
Lead a team building and optimizing AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting for a UAE customer.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for large-scale analytics.
Lead a team to build and optimize AWS-based data platforms using PySpark, Glue, EMR, and Redshift for large-scale ETL/ELT pipelines and data warehousing.
Senior Data Engineer builds and maintains AWS-based data pipelines, writes optimized SQL/PLSQL/PLpgSQL queries, and supports Redshift/Oracle/PostgreSQL systems for scalable analytics.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, Glue, EMR, and Redshift for a UAE customer.
Builds data pipelines and models to power marketing campaigns and customer insights for a North American retail brand.
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 deploy multi-agent AI systems using LLM APIs, agent frameworks, and AWS services, focusing on execution and integration rather than design.
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.
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