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Principal Data Engineer (PySpark)
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Senior Data Engineer – AWS
Design and build scalable AWS-based data pipelines and warehouses using Glue, EMR, Redshift, and Lambda to support analytics and BI teams.
Lead Data Engineer: Azure Data Lake & Spark Pipelines
Designs and maintains scalable data pipelines using Azure Data Factory, Synapse Analytics, and PySpark to ensure high-quality, secure data access for analytics.
Senior Data Engineer: Architect Scalable Analytics Pipelines
Designs and maintains scalable analytics pipelines using AWS, SQL, and big-data tools like Hadoop and Spark to power data-driven solutions.
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.
Principal Data Engineer: Real-Time PySpark Leader
Lead design and implementation of real-time and batch data pipelines using PySpark, Kafka, and Azure, while optimizing lakehouse storage and mentoring engineers.
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
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.
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.
Senior AI Solution Architect
Designs and integrates AI/ML solutions into a data lakehouse using Spark, Kafka, and Jupyter Enterprise Gateway for batch and real-time inference.
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.
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.
AI Engineer
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Senior AI Solution Architect
Designs and architects AI/ML solutions integrating batch and real-time inference using Spark, Kafka, and Jupyter Enterprise Gateway within a data lakehouse.
Senior AI Solutions Architect — Real-Time & Batch AI
Designs scalable AI/ML architectures integrating real-time and batch inference with Spark, Kafka, and Jupyter Enterprise Gateway for enterprise clients.
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.