Tech jobs
Job listings
Lead Data Engineer, AWS Data Platform & Pipelines
Lead a team to design and build scalable AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for a UAE client.
Principal Data Engineer – AWS Redshift & Data Platforms
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.
Associate Data Engineer Team Lead: Build Pipelines & Impact
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 Data Engineer (AWS Data Platform)
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 Data Engineer – AWS Data Platform (Hybrid)
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 Data Engineer – AWS Data Platform & PySpark
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 (AWS / PLSQL / Oracle)
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.
Senior Data Engineer: AWS Data Platform Lead
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, Glue, EMR, and Redshift for a UAE customer.
Data Engineer
Build and maintain ETL pipelines and data storage systems in AWS to power a B2B e-commerce platform serving Pakistani SMEs.
Data Engineer
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.
Data Engineer
Design and build data infrastructure—ETL pipelines, data warehouses, and streaming systems—using Python, SQL, and tools like Airflow, Spark, and Snowflake.
Data Engineer →
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.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Cloud Data Engineer: Warehousing & ETL Pipelines
Designs and maintains scalable data platforms and ETL/ELT pipelines for enterprise data warehouses using Spark, Kafka, and cloud services like BigQuery.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Senior Data Engineer (AWS / PLSQL / Oracle)
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.
Lead Data Engineer (AWS / PLSQL / PL/PGSQL)
Lead the design and optimization of AWS-based data pipelines and Redshift warehouses, writing complex PL/SQL and PL/pgSQL procedures to migrate and transform enterprise data.
Senior Data Engineer
Designs, builds, and maintains data pipelines and analytics solutions using AWS, SQL, and big data tools to process structured and unstructured data.
Senior Data Engineer
Designs and builds data pipelines and analytics infrastructure using AWS services, SQL, Python, and big-data tools to support predictive modeling and business insights.
Senior Data Engineer
Build and optimize large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting for a UAE-based client.