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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Familiarity with AWS (EC2, S3, MWAA, etc ) , and proficiency in managing cloud-based data solutions (Snowflake). Strong understanding of relational databases (MySQL, PostgreSQL ) , data warehouse, data modeling techniques, and ETL processes.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience working with columnar, analytical cloud data warehouse like BigQuery, Snowflake, Redshift. be working on distributed systems for data processing with efficient protocols and communication, schedulers, low latency access to distributed storage & cloud data warehouses.
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Familiarity with modern data warehouse platforms such as Snowflake and Data Bricks. - Develop and maintain the Front Office Data warehouse on Amazon Web Services (AWS.
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Perform data analysis by writing complex SQL queries on various source systems and data warehouse to find trends and anomalies in the data in support of the requirements for various strategic and/or tactical projects.
$87,027 - $138,965 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling. Additionally, provides direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.
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Work with multiple relational databases such as Oracle and Postgres; Work with NoSQL databases such as Couchbase; and work with data warehouse technologies such as Snowflake to process and analyze large datasets.
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Experience with Snowflake (our future data platform) would be highly advantageous. Strong understanding of SQL, Data Structures and Advanced SQL concepts including Analytics Functions, Data warehouse, Data Marts, OLTP, OLAP, Dimensional Model.
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Familiarity with data warehouse products in a cloud environment such as Google BigQuery, Redshift, Snowflake, etc. Mentorship: You will have the exceptional chance to work closely with Statistician/Data Scientist Daniel Jeske, the current Vice Provost of Academic Personnel and a professor of statistics since 2007.
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Deep understanding of the CDO Data Warehouse Or Network Usage/Legal Demandsapplication architecture End to End. The Application Production Support (NetUsage/Data Warehouse) is.
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Directing Data warehouse concepts like Star Schema, Snowflake, dimension and fact tables, and how to scale these solutions for performance and resiliency for reporting; Directing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Content Management, Reporting, Search; Protecting intellectual property, disaster recovery planning and adherence to SDLC as well as COBIT, CMMI, PMM4, and ITIL.
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Automate the data quality activities in snowflake (Task, workflow) Admin the snowflake environment (Pipe, Warehouse, user) 3+ Implementations in snowflake and understand the advanced capabilities like ML Model deployment etc Snowflake Optimization experience (Auto clustering, Warehouse, Query plan) etc.
ExpandApply NowActive JobUpdated 6 days ago
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