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7+ years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory 3+ years of experience with designing and implementing data solutions using Azure Cloud.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. As the Databricks Technical Lead , you will play a crucial role in designing, implementing, and optimizing data processing workflows and analytics solutions using the Databricks platform.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Northern Trust is seeking a dynamic Sr. Lead cloud/data platform engineer to support key data platforms to include Snowflake, Databricks, and other data platforms. Design, develop, and unit-test various modules of database product applications primarily on Snowflake but also on Databricks and other data services.
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Preferred Skills Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. We are currently seeking a Databricks Engineer to join our team remotely in the United States.
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We are looking to add a Lead Data Engineer – Azure Databricks & ADF to our team! Job Summary: We are looking for a highly skilled Technical Lead – Data Engineering with a strong background in building and optimizing data pipelines and transformation processes using Azure Databricks, Python, and Spark.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi.
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DataBricks Architect with Apache, Spark, Python, ETL. Hands-on experience with Databricks platform and Apache Spark. Lead the design, implementation, and optimization of the Databricks platform.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas, Texas (US-TX), United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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We are seeking a Sr. AWS Data Engineer / Architect with hands-on experience in designing, implementing, and managing data architectures in cloud environments, particularly AWS and Databricks.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Azure certifications such as Azure Data Engineer Associate or Databricks Certified Data Engineer Associate preferred. The Databricks Engineer will be a critical member of our Enterprise Data Team reporting to the Chief Software Architect.
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Proven experience in data engineering, with expertise in tools such as Collibra, Databricks, Alteryx, or Starburst. Support the migration of legacy workflows and data processes into Databricks/AWS ingestion pipelines.
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Mentor and train other data engineers on best practices for data engineering and Databricks usage. Develop and implement effective data architecture solutions using Databricks and Lakehouse.
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databricks job Title: data engineer Company: 3ktechnologies
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