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Extensive hands-on experience implementing enterprise grade Cloud Databricks Infrastructure(i.e., Azure Stack), RBAC, SCIM etc., using IAC tools like Terraform. Understanding the Python , Scala and SQL Codes and troubleshooting databricks , database and azure connectivity and access related issues.
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Preferred qualifications, capabilities, and skills Certification in Public Cloud Technology from one of the major Cloud Service Providers (e.g. AWS Certified Solutions Architect, Microsoft Azure Architect, Google Cloud Architect) Experience in financial services consumer businesses (i.e., Mortgages, Cards or Digital) preferred but not required Banking experience preferred but experience in industries with similar risk tolerance is acceptable.
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Knowledge on Datalake/Cloud Platforms (Azure synapse/GCP Bigquery), ADF, Databricks, Pipeline Creations is a plus. Independently complete designs and database object constructs on any supported platform, including Microsoft Azure, Synapse, Teradata, Sybase, Salesforce, Oracle.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 7+ years of experience in at least one of the following: JavaScript, TypeScript, SQL, Node.js, or Vue.js.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Implement Azure products and services, including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as conventional data warehouse tools, to create data migration and data engineering solutions.
$125,000 - $190,600 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on experience with data warehousing solutions (e.g., BigQuery, Snowflake, Data Bricks). Data Stack: Fivetran, Airbyte, dbt, BigQuery, Cube, PowerBI, ThoughtSpot PRIMARY RESPONSIBILITIES Collaborate with cross-functional teams to understand data requirements and objectives.
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Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval. Cloud Native: Hands-on experience utilizing cloud platforms (AWS, Azure, GCP) for data processing, storage, and orchestration, optimizing for performance and cost.
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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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NET/C#, ReactJS, Javascript/TypeScript, AngularJS, Web API, JSON, REST/HTTP, HTML, API Gateway, Azure DevOps, SQL, VB, Powershell scripts. NET/C#, AngularJS, ReactJS, Javascript/TypeScript, WebAPI, JSON, REST/HTTP, HTML, Azure DevOps, SQL.
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Python, Go, CM tools including Ansible and Terraform, CI/CD tools including git, Jenkins, and Itential, and a variety of GCP and AWS tools and services.
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Build automation for CI/CD and SaaS API delivery on AWS, Azure, Elastic and Snowflake. As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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You will be part of a team that is supporting cloud Data Warehouse and Data Lake environments implemented on AWS or Azure for some of Epsilon's most prominent Database Marketing clients. At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar.
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Experience with at least one MPP database technology such as Azure SQL Datawarehouse, Redshift, Synapse or SnowFlake (coding is in Databricks) The technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level.
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Automation - Ansible Automation Platform, AWX, Terraform, GitHub/Azure DevOps. Demonstrable experience creating and managing CI/CD pipelines using tools such as Team City or Azure DevOps.
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