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Set up connectivity to client Snowflake enterprise data warehouse and AWS Athena data lake. good communication skills Job Description: Informatica IDMC Admin required to drive implementation of Informatica Cloud Data Governance and Catalog (CDGC) on Informatica Data Management Cloud (IDMC) for client, and migration of on-prem Informatica Enterprise Data Catalog (EDC) and Informatica Axon content to cloud.
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Prior experience integrating Snowflake and Databricks Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions ( Eagle, State Street Alpha platform) Prior experience in data science/AI/BI tools.
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Experienced in agile methodologies like Kanban/Scrum, with a solid grasp of CICD, data modeling, and cloud-based data warehouse solutions such as Snowflake. Proficient with leading BI tools (e.g., Tableau, Power BI, or AWS QuickSight) and well-versed in data governance, big data solutions (e.g., AWS S3, Hadoop), and data lake concepts.
$151,200 - $189,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description : POSITION OVERVIEW: As a Data Warehouse Snowflake Migration Tester, you will be responsible for ensuring the successful migration of data warehouse systems to the Snowflake platform.
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Experience working with a Redshift data warehouse and standard AWS services (EC2, S3, etc) As a member of the Data Science team, the Senior Data Scientist will support core teams – product, fleet, operations, member services, revenue management, and sales – to deliver on the company’s mission of enabling simple and responsible urban living.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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Staff Engineer/Tech Lead (Analytics Data Warehouse) To succeed, you will have experience building data warehouse or data lake systems to support both strategic and tactical decision-making.
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Experience with cloud data warehouse technologies (AWS, Snowflake, BigQuery, etc.) Develop tools and data research to improve the quality of predictions. The Data Analyst is a part of the Customer Success team, which is responsible for all of our clients, starting from the POC stage and through deployment in production environments.
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Contribute to migration efforts from on-premise MS SQL Data Warehouse to Azure Cloud utilizing Data Lake, Spark, Synapse, Python and PowerBI. Contribute to transition of data warehouse from Legacy ERP to SAP S/4 HANA as source system.
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In the process of upgrading and modernizing our systems, we are looking for an experienced candidate to manage data replication from different sources to the Oracle Data Warehouse in OCI using primarily GoldenGate technology but may use other replication technologies depending on the use cases (like streaming data, SalesForce, SaaS applications.
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The primary function of this role will be to use data tools (SQL, QlikView, PowerBI) to query our data warehouse and provide meaningful analysis through new solutions and improving of existing ones to support Valuation with their Quarter-end and Year-end Reporting.
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Job Title: Data Architect with AWS Database / Data Warehouse / Data Platforms (Kinesis, Glue, Redshift, S3) – Not looking for Azure or GCP exp. 10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environment.
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Interviews business users to obtain requirements for enhancements and/or new analytic assets · Maps source system data to data warehouse models. · Participates in Architectural strategies on the EDW migration to Cloud platform e.g., integration with Data Lake and other Azure services.
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Oversee analysis, selection and implementation of a comprehensive Data Warehouse and Master Data Management solutions. Develop Data Operations processes and organizational design to ensure data quality, integrity, and security across all data management practices.
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Requires two (2) years of experience in each of the following: Analyzing large data sets from multiple data sources; “Big data” platforms including Hadoop (Azure, GCP, or AWS); Traditional relational data warehouse technologies: Oracle, Teradata, or DB2; Visualization tools, including PowerBI or Tableau; Java, Python, Hive, or Cassandra; and Hadoop or HDFS commands.
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data warehouse jobs Title: data in Waltham, MA
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