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Databricks Data Engineering Architect defines and drives Databricks architecture and strategy, takes end-to-end ownership of Databricks solutions from design through implementation, and works with technologies like Databricks, Spark, Delta Lake, SQL, Python/PySpark, and Lakeflow.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
The Senior Data Solutions and Cloud Architect/Engineer will design and manage scalable cloud-based data environments on Azure to support advanced analytics and business decision-making. The role involves leading technical teams, building data pipelines, and ensuring compliance with security and GxP standards within a MedTech environment.
Senior Databricks Engineer automating platform operations, CI/CD pipelines, and multi-environment deployments using Databricks, PySpark, SparkSQL, and Azure cloud services.
Senior Databricks Data Engineer responsible for migrating enterprise data platform from Informatica to Azure Databricks, developing data pipelines using PySpark and SQL, and implementing Delta Lake architecture with Medallion principles.
Design, build, and support scalable data pipelines and integration solutions using Azure Databricks, Spark/PySpark, and Delta Lake for a major bank's analytics, reporting, and risk management needs.
Senior Data Engineer primarily remote, building scalable PySpark/Databricks pipelines, integrating datasets into a Lakehouse, and implementing governance via Unity Catalog — with occasional onsite weeks in Bengaluru.
Data Engineer owning and extending a Databricks Lakehouse (medallion pipelines, Unity Catalog) that powers AI agent products for higher education clients, using Spark/PySpark, Python, SQL, and AWS.
Lead Data Engineer architecting scalable data pipelines and ELT processes using Databricks, Apache Spark, and Delta Lake, while mentoring a team of engineers at a data-focused technology services company.
Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
Design, build, and maintain scalable cloud-based data pipelines using Databricks, Apache Spark, Python, and SQL for Energy Trading & Risk Management clients.
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
Senior Data Engineer designing, building, and operating data pipelines and a lakehouse platform on Databricks and Microsoft Fabric using Spark, Python, and SQL.
Data Engineer / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Data Engineer designing, building, and operating ingestion, transformation, and Lakehouse pipelines on Databricks and Azure for Masco's enterprise POS and commercial data.
Senior Data Engineer owning and evolving an Azure Databricks lakehouse platform, building ETL/ELT pipelines with SQL and Python, and leading a small team of Data Engineers for a large NZ organisation.
Sperasoft is looking for a talented, experienced 3D vegetation Artist who can create different types of plants and organic (trees, bushes, grass, etc.). If you are keen on vegetation creation and would like to be a…
Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products. As a Senior Lead Software Engineering at JPMorgan Chase within the Employee…
Designs and builds AI-powered digital twin systems using NVIDIA Omniverse, integrating computer vision, LLMs, and industrial data pipelines for real-time analytics and control in manufacturing and logistics.
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