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Developing/testing Experience on Cloud/On-Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx). Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and SageMaker.
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5+ years of proficiency with AWS including EC2, EMR, S3, Kinesis, Kafka, Redshift, RDS Databases, Cloudwatch, Cloudtrail, Step Functions, IAMs, and Snowflake -Familiarity with Azure is a plus. Oversee the deployment, scaling, and management of data analytics platforms such as Talend, Microstrategy, Tableau, and Alteryx.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Working knowledge and experience in one or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP. Working knowledge and experience in multiple Data and Analytics solutions and tools such as dbt, Alteryx, Collibra, Alation, Fivetran, Matillion, Tableau, PowerBI, etc.
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Alteryx or SAS. 3+ years of Risk Analyst experience. Experience joining relational databases and understand the business problems. Story telling with data, and understanding business purpose. Good data manipulation experience , and getting data to useable set.
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Good to have : Tableau, IBM Cognos Suite, Power BI, Matillion, Alteryx, Python, AWS Ecosystem, QlikReplicate, GitHub. Good to have : Tableau, IBM Cognos Suite, Power BI, Matillion, Alteryx, Python, AWS Ecosystem, QlikReplicate, GitHub.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Experience with big data, analytics, and data science from a platform engineering and support perspective, including Tableau, MicroStrategy, AWS cloud - especially RedShift, Databricks, and Alteryx 8+ years of Information Technology or relevant industry experience 4 years of Information Technology experience managing information related technologies, resources and projects, including teams with direct reports.
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AssistantVice President will have extensive experience with Tableau Data Sources, Extracts, Data Visualizations, Tableau Desktop, Tableau Server, Tableau cloud, Tableau Mobile, Tableau Reader, Tableau Prep, Tableau Bridge, SQL Query, SAP Business Objects administration, Alteryx Designer, Alteryx Intelligence suite and Alteryx Server.
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You optimally have experience with using a BI and data science technology stack (e.g. QlikSense, Tableau, AWS, DataBricks, Alteryx) DataBricks, Qlik Sense, alteryx) and. DataBricks, Qlik Sense, alteryx) and.
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Experience with Informatica, AWS Glue, Step Functions, Data Lake, Datamesh, RDS, Python, Pyspark, PL/SQL, Unix, Shell, Windows, Jenkins, GitHub, BitBucket, Vault, CDC concepts, Informatica to AWS Glue migration, Informatica Upgrades, and ETL framework and solutioning knowledge.
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Qliksense, MicroStrategy, AWS S3, Snowflake, Alteryx. Qliksense, MicroStrategy, AWS S3, Snowflake, Alteryx. Looking for Solution architect to design a greenfield implementation effort to re-imagine real-time data and Analytics to support data acquisition to data consumption.
$170,000 - $190,000 a yearFull-timeExpandUpdated 3 months ago - UpvoteDownvoteShare Job
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues.
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3-5 years of work experience in ETL tools like Informatica Intelligent Cloud Services (Data & Application Integration), Oracle Data Integrator 3-5 years of collective work experience in multiple databases like AWS Redshift, Oracle 12c, and Oracle Autonomous Data Warehouse.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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