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3+ years of hands-on experience with data visualization tools (Tableau, Looker, PowerBI, etc) Cloud-based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake. Must have Python, Java, Databricks, AWS/Google Cloud.
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Hands-on experience with large databases, Google BigQuery and AWS Redshift preferred. Support the data storage infrastructure on Google Cloud and AWS services.
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Design, configure, and manage Data Lakes in GCP, utilizing services like Google Cloud Storage, BigQuery, and Dataproc, to support diverse data types and formats for scalable storage, processing, and analytics.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Knowledge of Modern Data Warehouse is preferred (Azure Synapse Analytics, Data Bricks, ADF, Power BI) We are looking for talented Senior Applications Developer passionate about building large scale Application and Data Solutions to help manage the ever-growing information needs for our clients at AT&T. This role requires a strong Java Tech stack background with previous experience with hands-on programming using various languages and guiding large cross-organizational software development projects as well as a well-rounded experience in current web and micro-service technologies.
$106,100 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with front-end technologies including HTML, CSS, JavaScript, with familiarity in React. In-depth understanding and hands-on experience with Identity and Access Management (IAM) concepts.
$118,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a strong analytical mindset and the ability to derive actionable insights from a variety of data sources, including Salesforce, Google Analytics, and paid media platforms (Meta, Google Ads, TikTok.
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Provide technical design and architectural leadership to multiple teams and projects to help ensure applications are integrated and adhere to stated architectural and design principles and standards while having the opportunity to remain in a hands-on engineering role.
$106,100 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) You will be a trusted advisor and an Analytics, Data & AI subject-matter expert with core capability and expertise in Data Modernization, Analytics and AI. You will work with customers to leverage data to help them achieve their business priorities and help guide customer’s journey through Analytics-led Azure Data transformation.
$85,300 - $161,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize On-Prem and Cloud-based ETL platforms, Cloud Data warehouse, AWS, GitHub, various scripting languages, SQL, querying, data quality, and metadata management tools. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, DBT, AWS Services Lambda, SNS, SQS, Event Bridge, and IoT core.
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Deep expertise and extensive hands-on experience in biomolecular interaction analysis using biosensor-based platforms (Carterra LSA, Biacore, Octet) and solution-based approaches (KinExA, Gyrolab) is required.
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Experience analyzing and translating actionable business insights from eCommerce platforms, Google Analytics, Adobe Analytics, Google Data Studio, Google Tag Manager, and/or other analytical tools.
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Working with both structured and unstructured data, recognize patterns within data and generate insights/deliver value; streaming analytics using tools Spark, Kafka, Storm and cloud services AWS, Azure Cloud, Google Cloud.
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google analytics data warehouse hands on jobs Title: analytics in Holdrege, Nebraska
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