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Senior Java engineer designs and builds large-scale data migration and ETL pipelines using Java, Spark, and cloud services, while leading technical design and mentoring teams.
Build and enhance enterprise data platforms using PySpark, SparkSQL, and Azure for investment data processing and analytics.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
Build and maintain AWS-based data pipelines for Safran Aircraft Engines, ingesting MES/ERP/PLM and IoT feeds, transforming them in a medallion lakehouse, and enabling business teams with Power BI dashboards.
Build and optimize data pipelines to ingest and process retail and consumer-goods data, then expose it via BI dashboards for fast, scalable decision-making.
Lead a team building and optimizing large-scale data pipelines, data lakes, and warehouses using Azure, Spark, Kafka, and Snowflake to power analytics and ML for Emirates’ enterprise systems.
Design and build data pipelines, warehouses, and analytics solutions for Emirates Group using Azure, Spark, Kafka, and SQL to support airline operations and reporting.
Build and optimize cloud data pipelines in Snowflake, orchestrate workflows with Airflow, and transform data using dbt to support enterprise analytics.
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.
Build and automate data pipelines, migrate legacy systems, and ensure data quality using SQL, Python, and cloud platforms like Azure.
Build and maintain cloud data pipelines for a global bank, migrating on-premise systems to the cloud and supporting PowerBI reporting for Caribbean teams.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and analytics models for enterprise clients using cloud platforms like Azure, AWS, or GCP.
Senior data engineer building scalable ETL/ELT pipelines, optimizing data lakes, and processing large datasets using Python, Scala, Spark, and AWS services.
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
Build and scale petabyte-scale data pipelines for a clinical AI assistant, focusing on ingestion, synthetic generation, and quality control to train multimodal medical LLMs.
Build and scale a cloud-native data platform using Databricks, Spark, and AWS to power analytics and ML at a data-driven tech company.
Design and maintain a secure, scalable data platform for multimodal medical datasets, enabling AI training and real-time hospital workflows using open-source tools like Kubernetes, Terraform, and Dagster.
Build and maintain GCP-based data pipelines and data lakes for a finance client, using Scala and Spark to industrialize ML/OR models and replace legacy warehousing systems.
Build and maintain Azure-based data pipelines and ETL workflows using SQL, Python, and Azure Data Factory to support analytics and reporting for banking/finance clients.
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