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Platform Engineer/Architecture for Data Platforms either Cloud-based or On-Prem (Databricks, Snowflake, Superset, etc.) Work as platform admin on Snowflake or Databricks on AWS i.e., Configuration, Data migration and security.
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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
$205,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We are looking for a Senior Data Engineer (Engineer 5) with Neo4j experience to join our Philadelphia-based team.
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Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and ML. Leverage Databricks for data engineering, analytics, and machine learning tasks within application developm.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Leverages the use of data analytics tools (e.g. QlikSense, Databricks, Snowflake, Python, Alteryx, etc.) Interest in ETL processes using tools like Databricks, Snowflake, Alteryx, or similar platforms.
$60,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Working knowledge of analytical and data visualization technology such as Power BI Working knowledge of cloud-based data architectures using the Azure stack, Databricks, and/or Snowflake Position may require the need to travel to other branch or meeting locations.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Act as a technical product owner for the cloud data platforms, including Azure Databricks, and collaborate with other product owners and managers to deliver value to the customers. You will be responsible for setting the vision and direction for our data products, ensuring alignment with the Data Office and other stakeholders across the bank and in IT. You will also act as a technical product owner for our cloud data platforms, including Azure Databricks, and collaborate with other product owners and managers to deliver value to our customers.
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Join Takeda as a Lead Data Engineer RDBU where you will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support the Rare Disease Business Unit. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and the RDBU I&A teams to deliver and maintain effective solutions and help drive adoption.
$209,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Over 3 years of experience in working with cloud data platforms, ideally Azure Databricks, and other Azure data services such as Data Factory, Data Lake Storage, Synapse Analytics, etc.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Fully covered life insurance up to x3 annual base salary.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). State Street Global Advisors is looking for a highly skilled Data Engineer/ Data Analyst with 3+ years’ experience to join our Portfolio Analytics Technology Solutions team.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions. Demonstrated experience building data pipelines with PySpark and AWS.Application development experience in financial services with hands on designing, developing, and deploying complex applications.
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databricks fully remote data jobs Title: data engineer Company: Cloudmr
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