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Experience with Databricks on AWS. You are responsible for directly sourcing data using languages and tools such as SQL, Python, Alteryx, Excel, and Salesforce, and analyzing that data in ways that support practical decision-making and strategy setting.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP.
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Solid ETL Experience using various tools: SSIS, Alteryx, AWS Glue, etc. Setup and maintenance of Domo and Alteryx Workflow jobs. Setup and maintenance of Domo and Alteryx Workflow jobs.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.
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Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more.
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Some exposure/ experience in Data engineering on the cloud with knowledge of AWS cloud components such as S3, Athena, RDS and exposure to data engineering and visualization components such as Alteryx, Dataiku, Power BI etc.
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The Data Operations Manager will be responsible for managing our database infrastructure in AWS, executing ETL flows using Alteryx, and ensuring effective data governance practices to support our mission of improving the lives of children and families.
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Knowledge of ETL tools like Airflow, AWS Glue, Alteryx, SSIS, Qubole/Spark is a must. 3+ years’ experience in ETL development, Strong Database (Modeling, SQL), SQL Server, Hadoop, AWS Redshift, Qubole.
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Experience with any of the following technologies is a plus: SAP Data Integrator, Syniti Data Replication, Microsoft SQL Server, SQL Server Integration Services (SSIS), Oracle Business Intelligence/Oracle Analytics Server, JD Edwards, DB2, Python, Power Shell, R, Scala, Go, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.
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Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay forcare.
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Programming proficiency in SAS, SQL, R, Python, or AWS tools. Experience with Alteryx or other data analytics tools is desired. Programming proficiency in SAS, SQL, R, Python, or AWS tools.
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Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS. Experience with data cleansing tools such as Alteryx/Tableau Prep. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.
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Experience administering and supporting modern data warehouse user solutions such as Alteryx, Tableau, Power BI or other enterprise reporting solutions. Experience with Snowflake and AWS or Azure cloud services is desired though not required.
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