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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Warehousing: Experience in Snowflake Data Cloud, SQL Server, Azure, AWS Redshift, Google Big Query. Science & programming: Python, R, SQL, SAS, Java or similar ß Lower Priority.
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Data Ingestion and Storage using Azure Data Factory, Azure Databricks, Azure SQL, SQL Server, Azure Data Lake, Azure Synapse Analytics, and/or Cosmos DB. -Technical experience using large data systems on T-SQL and/or Python.
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We are seeking a highly skilled and motivated Data Architect with hands-on experience in Microsoft Azure to join our client’s dynamic team. Sr. Software Engineering Manager (Hands-On Python & Remote) who can act as a player-coach andwill be responsible for leading a team of fully remote Software Engineers.
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In addition, the candidate should also have some hands-on experience working with the Azure platform and primarily: Azure Data Warehouse / Synapse, Azure Data Factory, Azure Data Lake, Databricks and Azure Analysis Services.
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On Premise: SQL Server, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS.
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Deep understanding of data sources like Informatica, SQL Server, Oracle and experience writing complex queries for data validation of business logic transformations Hands on experience with cloud data platforms like Snowflake is a must.
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Hands-on experience with Databricks for big data processing and analytics. Minimum of 10 years of experience in data engineering roles and 2+ years leading / maintaining data DevOps for Data Pipeline and ETL solutions with a focus on SQL, Databricks, Postgres, and Redshift.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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As the hands-on Enterprise Data Warehouse Manager for Party City, you will hold a dual role, leading the EDW team while actively participating in the design and development of the enterprise data warehouse architecture for the entire Snowflake environment.
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Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift). Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus.
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In Computer Science, Information Systems, or related field 2+ years of database development and data analysis experience 2+ years of data transformation experience A good understanding of dimensional models (Star or Snowflake schemas) Proven experience as a BI Developer or similar role, with a strong understanding of business intelligence concepts and methodologies Proficiency in SQL programming and experience with relational databases (e.g., SQL Server, Oracle, MySQL, etc.
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Database Architect, PostgreSQL and SQL Server to NoSQL systems such as MongoDB, Couch, Cassandra, and/or Elasticsearch, MySQL, AWS, Big Query. Database Architect, PostgreSQL and SQL Server to NoSQL systems such as MongoDB, Couch, Cassandra, and/or Elasticsearch.
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3+ years of experience of leading an analytical team to develop tool to solve real business problems + Excellent problem solving, communication, and data presentation skills + Ability to effectively communicate complex quantitative methods and results as easily understood business insights for all levels of business customers + Curious, fast learner, hands on Preferred: + Ph. D. degree in the same fields + Experience with Google Cloud Platform (GCP) including Vertex AI, Big Query is a plus.
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Application software and training, including Ellucian CRM Advance, MS SQL Server Management Studio, SQL Developer, Visual Studio, Tableau, Project Management Software, Cognos, Power BI, Postman, XRMToolbox, Anthology/Encompass, and Hivebrite.
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