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Designs and builds cloud-based data platforms (warehouses/lakehouses) using Azure Databricks, MS Fabric, and Azure Data Factory, focusing on data flows, migrations, and governance for global clients in industries like Consumer Goods, Retail, and Financial Services.
Develop and maintain PySpark pipelines and data ingestion flows for a client's Data Lake using GCP and Hadoop in an Agile environment.
Builds and optimizes large-scale data pipelines using PySpark in a cloud (GCP) and Hadoop environment, ensuring efficient data processing and transformation for analytics and business intelligence.
Design and build robust data pipelines on Databricks using PySpark/Spark SQL, optimize data flows, ensure code/data quality, and contribute to agile processes. Core technologies include Databricks, PySpark, Python, SQL, and cloud platforms (AWS/Azure/GCP).
Lead Data Engineer responsible for designing scalable and robust data solutions for clients (e.g., Fortune 500) on projects like cloud migrations and data mesh, working with technical and business teams and mentoring junior engineers.
We are seeking a hands-on Manager – BI & Analytics to lead the design, development, and delivery of enterprise-scale BI and analytics solutions. The ideal candidate will have deep expertise in Power BI, Tableau,…
Build and optimize Microsoft Fabric-based data pipelines and lakehouse/warehouse architectures for a global travel-rewards business, using PySpark, T-SQL, and AI tools to modernize legacy systems and enable real-time analytics.
The Senior Data Engineer designs, builds and supports data pipelines and solutions on UNSW's data platform using Microsoft Azure and Databricks technologies. The role involves data ingestion, transformation, and ensuring systems are reliable and maintainable.
Data Engineer working on enterprise data solutions, building scalable data pipelines and maintaining governance standards using Azure ecosystem technologies including Data Factory, Synapse Analytics, and Databricks.
Principal Data Engineer re-engineers an enterprise Azure Synapse data platform, reverse-engineering pipelines and migrating workloads to Databricks while preserving governance and data quality.
Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring a problem-solving mindset, fresh perspectives, and sharp…
Data Engineer in a validation team (with data scientists and methodologists) to assess model effectiveness and risks. Daily tasks include data loading, transformation, error checking, ETL validation, code review, automation, and reporting; core technologies are SQL, Python, and Hadoop/Spark (advantage).
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only…
Data Analyst in a model validation team, analyzing data quality (SQL, PySpark, Python), preparing data marts, automating processes, and reporting on model risk assessments.
Czym będziesz się zajmować? Andersen is hiring a Data Engineer in Poland for a project focused on processing large-scale data and delivering analytics solutions that support data-driven decision-making. Our customer is…
Design, develop, and automate data pipelines for the Loyalty Data Product Engineering team using PySpark, SQL, and Databricks to maintain data quality and support business stakeholders.
Analytics Engineer working on Loyalty Data Product Engineering team, designing and automating data pipelines using PySpark, Airflow, SQL, and ETL processes to support customer analytics and data quality governance.
Analytics Engineer at Canadian Tire Financial Services working on the Loyalty Data Product Engineering team, designing and developing data pipelines using technologies like PySpark, Airflow, SQL, and cloud platforms to support customer analytics and enhance brand experience.
An Analytics Engineer at Canadian Tire designs, develops, and automates data pipelines for loyalty data, monitors data quality, and supports business stakeholders using technologies like PySpark, Airflow, and SQL.
Build and scale a Microsoft Fabric/Azure-based enterprise data platform using Python, PySpark, dbt, and Airflow, while enforcing data quality, governance, and clean-code practices.
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