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Senior Data Engineer builds and optimizes scalable data pipelines using PySpark, Python, and Azure Databricks to process and transform enterprise data for a Big Four accounting firm.
Senior/Lead Data Engineer building and optimizing Spark/PySpark applications on Databricks for an Exadel client project, using Python, Delta Tables, and Azure Cloud in a collaborative, cross-functional team.
Exadel is seeking a Senior/Lead Data Engineer to design and maintain scalable Spark applications and data pipelines for a major professional services client. The role involves utilizing PySpark, Databricks, and Python to optimize data processing workflows within an Azure-based microservices environment.
The Data Engineering Specialist designs, develops, and maintains scalable ETL/ELT pipelines using Python, Dagster, and dlt. The role involves integrating data into cloud-based lakehouse architectures on AWS or Azure to support analytics and AI initiatives.
Data Engineer designing and maintaining ETL/ELT pipelines with SQL, Python/Scala/Java, Airflow/NiFi/Prefect, and relational/NoSQL databases on a cyberdefense project for a large defense company.
The Software Engineer will design and optimize data ingress/egress pathways and analytics workloads using Python, Java, Apache Spark, and Apache Airflow. This role requires an active TS/SCI with Polygraph clearance.
Build and maintain ETL/ELT pipelines on Microsoft Fabric to ingest and transform raw data into reliable datasets for analytics and BI, using Delta Lake, Spark, and cloud platforms.
Manage the full lifecycle of data integration pipelines and ETL processes on a cloud-based data platform, coordinating with business users, data protection, and external providers using Databricks, Azure, Python, and SQL/NoSQL databases.
The Data Automation Engineer performs ETL testing, data validation, and reconciliation using Java, Spark, and MS SQL Server. The role involves automating test frameworks, managing test data, and analyzing system logs to ensure data quality in batch processing environments.
Senior Test Engineer at Ordnance Survey building and maintaining automated tests for geospatial data platforms, using Scala, Python, Azure, and Databricks in a hybrid role based in Southampton.
Sr. Data Engineer applying data science to supply chain planning and inventory management—building ETL pipelines, working with SAP, and using Python/R/SQL and Power BI to develop optimization models and analytical tools in Pune.
Senior Data Engineer building and scaling production data pipelines using Python, Spark SQL, and Airflow to process healthcare data for an AI-powered platform.
Data Engineer supporting U.S. DoD in Kaiserslautern, Germany, designing ETL pipelines, managing data warehouses and lakes, integrating diverse data sources, and ensuring data quality and compliance using tools like Apache Airflow, Kafka, Snowflake, and Redshift.
Build distributed compute systems for enterprise-scale data and AI workloads, optimizing Spark, Trino, Presto, and Flink environments for cost and performance at petabyte/exabyte scale.
Builds and optimizes core lakehouse systems for AI, focusing on metadata, transactions, table maintenance, and storage efficiency at petabyte/exabyte scale using Iceberg, Delta Lake, and cloud object stores.
abra professional services is seeking a talented Data Engineer! We are looking for a Data Engineer to join our team and work on cutting-edge AI projects. In this role, you will be responsible for ingesting large…
Overall Objectives of the Job We are seeking a skilled and experienced Senior Data / Platform Engineer to join our Data & Analytics team. This hybrid role combines hands-on data engineering on Databricks and Azure…
Develops and maintains a network query engine (NQE) and domain-specific languages for network verification, using Java and PL/DBMS techniques to optimize queries, extend language features, and build tooling for network operators.
Senior Software Engineer at a quantitative investment firm building and maintaining AI-driven analytics infrastructure for finance research, using Python, SQL, and distributed systems.
Salary: £? - ? per year Requirements: We have 5+ years of experience in MLOps, DevOps, or related engineering roles. We have strong knowledge of the ML lifecycle and production ML operations. We have hands-on…
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