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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 to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Sales Data Engineering Manager
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.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Data Engineer - PostEx
Builds and maintains scalable data pipelines and ClickHouse analytics for a logistics and fintech platform, ensuring reliable data flow and high-performance queries.
Senior AI Engineer
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Senior Data Engineer - Lakehouse Migration & Spark
Build and migrate data pipelines from Hadoop to a modern lakehouse using Spark 3 and Iceberg, ensuring reliable reporting and analytics for core business needs.
Senior Data Engineer: Real-Time Pipelines & Cloud
Design and optimize real-time and batch data pipelines using Spark, PySpark, and streaming frameworks, orchestrated with Airflow or Azure Data Factory.
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
Build and maintain AWS-based ETL/ELT pipelines, transform data into reliable models, and support BI dashboards using SQL, Python, and Airflow.
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.
Data Engineer (4-5 Years)
Build and maintain scalable ETL/ELT pipelines using Python, Snowflake, Databricks, and Azure Data Factory to process and transform data for analytics and reporting.
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/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.