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Data Engineer - GCP
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
Databricks Data Engineer
The Databricks Data Engineer will design, build, and maintain data pipelines and architectures using the Databricks platform and cloud services. This role involves collaborating with cross-functional teams to deliver scalable data solutions for various clients.
Data Engineer
Builds and maintains a Microsoft Fabric-based data layer that integrates multiple sources into versioned, auditable datasets for insurance risk models.
Data engineer
Build and maintain a scalable Azure-based data platform using Databricks, dbt, and Python to process financial and agricultural data into actionable insights.
Data Engineer II, WW FBA Central Analytics
Data Engineer II building and operating scalable ETL pipelines and data infrastructure for Amazon's FBA Central Analytics, using Spark/PySpark, dbt, Airflow, and SQL on AWS.
Senior Backend Engineer- Data Platform
Senior Backend Engineer leads the design and scaling of distributed ETL microservices for Placer.ai’s data export platform, optimizing high-throughput batch/real-time pipelines and collaborating with cross-functional teams to integrate complex data workflows.
Data Engineer
Builds and maintains scalable data pipelines using PySpark and AWS tools to process large datasets, enabling analytics and business intelligence for UK government programs.
Junior Data Engineer - Data Management AI & Analytics
Junior Data Engineer working on onboarding and transforming data in an Enterprise Data Lake, creating reporting models, and collaborating with IT teams using Microsoft Azure, PySpark, and Power BI.
ZAP 51052 Data Engineer / Senior Data Engineer Microsoft Fabric
The Data Engineer will develop and maintain data pipelines within the Microsoft Fabric ecosystem for a financial sector client. The role involves building PySpark notebooks, managing data quality, and ensuring efficient data integration and transformation.
Senior Data Engineer
Senior Data Engineer designing and building scalable cloud-native data platforms, implementing near-real-time event-driven ingestion pipelines, and optimizing Spark/PySpark workflows with CI/CD best practices.
Data Engineer, Ozon fresh
The Data Engineer will join the Ozon fresh Data Science team to develop and optimize large-scale data processing algorithms for supply chain operations. The role involves data preparation, productionizing algorithms, code reviews, and incident analysis using Python, PySpark, and SQL.
Senior Data Engineer (Healthcare domain)
Designs and optimizes large-scale cloud data pipelines and architectures for healthcare data, using Python, PySpark, and cloud platforms like Azure, Snowflake, and Databricks to ensure seamless data integration and performance.
Data Engineer
The Junior Data Engineer will build and scale a modern data platform to support AI, BI, and analytics for a financial services company. The role involves developing ETL pipelines using Python, AWS, Spark, and dbt.
Senior Data Engineer AWS
Senior Data Engineer building and managing AWS data pipelines and platforms for client projects, using AWS services, Spark, Airflow, and Infrastructure as Code.
Senior Databricks & AI Architect – Sydney
Leads Databricks-based data platforms and Agentic AI solutions for insurance processes like claims and underwriting, optimizing Spark architectures, FinOps, and regulatory-compliant data governance.
Senior Data Engineer - TDH & T24 (Chennai | Pune | India)
Build and maintain data pipelines from Temenos T24/TDH into cloud data platforms (AWS or Azure) for a financial services programme, handling extraction, transformation, reconciliation, and contributing to a long-term data lake/lakehouse strategy.
Senior Data Engineer (ADB, Python)
Senior Data Engineer builds and optimizes PySpark applications on Databricks for a Big Four firm, using Python, Azure Cloud, and microservices to process and transform enterprise data at scale.