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IC4 - Sr Data Engineer
Senior Data Engineer designs and optimizes scalable data pipelines, warehouses, and real-time streaming systems using GCP/AWS, Python, Java, and SQL to enable analytics and AI-driven solutions.
Senior Data Engineer: Scalable Pipelines & Insights
Designs and maintains scalable data pipelines and storage systems using Python, Java, Spark, and SQL/NoSQL databases to ensure data quality and deliver business insights.
Senior Data Engineer (Hybrid Setup)
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Data Engineer (ETL,SQL,Python)
Builds and maintains scalable data pipelines and ETL processes using Python, SQL, and cloud tools to transform raw data for analytics and machine learning.
Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Data Software Engineer
Build and maintain data solutions for airline and rail customers using C#/.NET, SQL, APIs, and cloud platforms like Azure.
Data Engineer (Python & SQL) — Scalable Data Pipelines
Designs and builds scalable data pipelines in Python and SQL to transform raw data into insights for analytics and operations.
Lead Data Engineer
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Oliver Wyman - Data Engineer - Mexico City
Designs and maintains scalable data pipelines and infrastructure using Databricks, SQL, and Python to support data-driven consulting initiatives in a hybrid Mexico City role.
Cloud Data Engineer - Pipelines, ETL & Big Data
Designs and builds cloud-based data pipelines and ETL workflows to transform raw data for analytics and operations using Python, SQL, and NoSQL.
Factory Data Engineer: Analytics & Pipelines (Fixed-Term)
Builds and maintains data pipelines and analytics infrastructure for a semiconductor manufacturer, enabling reliable data access for BI and data science teams.
Senior Data Engineer
Build and scale data pipelines using Spark, Python/Scala, and cloud platforms (Azure/AWS) to power client solutions.
Senior / Staff data Engineer (Agentic AI)
Designs and optimizes scalable data pipelines and agentic AI workflows to process sensor/image data and support advanced analytics and automation initiatives.
Senior Data Engineer
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Senior PySpark Data Engineer - GCP & Data Pipelines
Builds and maintains PySpark data pipelines on GCP, using BigQuery and Dataproc to process large datasets with Python and SQL.
Senior Data Engineer
Design and build scalable data pipelines and ETL/ELT workflows in Python and SQL to feed analytics, AI/ML, and internal apps with clean, governed data.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to collect, process, and analyze data for an iGaming company using Java/Scala, SQL/NoSQL, and Spark.
Clinical Data Engineer/Enablement
Build and maintain cloud-based clinical data pipelines for biopharma, ensuring compliant, high-quality data delivery to downstream teams using AWS/Azure, Python, and CDISC standards.
Data Engineer
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Data Engineer: Scalable Pipelines & Infrastructure
Designs and builds scalable data pipelines and infrastructure to process raw data for analytics and operations using Python, ETL tools, SQL/NoSQL, and cloud services.