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Strong experience working on Databricks, DBT and data visualization tools like Power BI. Databricks Platform Utilization: Utilize the full capabilities of the Databricks platform for data processing, ETL, analytics, and machine learning.
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Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks) Hands on experience with SQL, Python, Informatica PowerCenter/IICS, Collibra, Reltio Master Data Management, DBT Cloud, DBT core, Denodo, Synapse and Golden Gate replication.
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Databricks, Power BI) Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY), professional and industrial users in the home improvement, repair, maintenance, construction, and infrastructure industries.
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Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis). Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis.
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As a Cloud Data Solutions Architect focused on Data Solutions and Data Management, your primary responsibility will be to ensure building a scalable, secure and efficient data platform / Lakehouse with Azure / Databricks.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Active contributor to one or more PAAS platforms software such as, Snowflake, Databricks, Confluent, Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, Redis, MongoDB, ElasticCloud, CockroachDB, Yugabyte, Hashicorp, etc.
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Experience with Azure products and services including Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services.
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Hands-on experience with big data technologies such as Apache Spark, Hadoop, and/or Databricks. Experience working with Databricks for data engineering and analytics workflows. Experience implementing and optimizing data solutions on Azure, including Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
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7+ years of professional experience concentrated on Machine Learning engineering, with at least 2+ years of professional experience with Databricks (specifically for ML - not data engineering) - including experience with Unity Catalog and Asset Bundling.
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Oversee the implementation and use ofdata storage solutions, including PostgreSQL, MS SQL, Amazon RDS/Aurora,Databricks, and Snowflake. - Familiarity with CI/CD tools (GitHub,Jenkins, UCD) and data storage solutions (PostgreSQL, MS SQL, AmazonRDS/Aurora, Databricks, Snowflake.
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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace. · Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus.
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Experience with Databricks and Databricks Terraform preferred. Design, development & implementation of DevOps and deployment pipelines using CI/CD and IaC tools and frameworks in Snowflake and AWS eco system.
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The successful candidate will have extensive (typically 10 years) of technical experience, along with a record of success in leading and facilitating technology transformations to cloud services such as Azure, AWS, and GCP. This person should also have proven experience working in an Agile Scrum environment with data engineering solutions like Snowflake, Databricks, and modern database solutions for cloud environments.
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databricks job in New Orleans, LA
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