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Role: Informatica Administrator (SQL DBA) Design and implement ETL (Informatica) process using SQL, ETL tool and Linux shell scripting to deliver high quality solutions. Be able to lead and develop Informatica PowerCenter ETL complex flows connecting to heterogenous database such as oracle/MS SQL server.
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You love thinking about data engineering problems that include data streaming, ETL, data warehousing, data lakes, and/or data virtualization. As an Associate Data Engineer, you will work closely with other Data Engineering team members to help establish what the Data Engineering discipline can be for the Data Science and Analytics team You will build and manage data pipelines from many sources to support a wide variety of analysis and stakeholder needs across the organization.
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In addition to data engineering tasks, this position will also be responsible for performing Database Administrator (DBA) duties. Experience in ETL processes and data warehouse design; including demonstrated success with one or more of the following: Kimball Methodology, Microsoft SQL Server, Snowflake, Azure Data Factory, Alteryx, SSIS, Azure Data Lake.
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Work closely with EDS BI Platforms, Enterprise Architecture, Field Engineering, DevOps, DBA, ETL, user community, and software vendor partners for supporting various initiatives in Power BI and Tableau applications.
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Three years of experience in a data engineering, database administrator, or business intelligence role. Experience with ETL and data modeling technologies (e.g., SSIS, Data Factory, SSAS - Tabular.
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Bachelor's degree in a training related field with 3+ years of experience Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI analytics.
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Work with Data Engineering team to design, build and maintain ETL pipelines for PG. You will work with all Engineering teams throughout Cisco Meraki guiding them towards best practices to meet the data requirements for their use cases.
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Obtained dbt Cloud Administrator Certification or dbt Analytics Engineering Certification is a plus. Stay current with emerging technologies and best practices in data engineering, and recommend improvements to enhance data integration processes and capabilities.
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Experience with Data Integration, Data Engineering, and Data Lake implementations using ETL, Big Data, and Cloud Technology. Find even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
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Bachelor's Degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related\/relevant degree AND minimum of 2 years of experience as a Data Engineer, Integration Developer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and\/or Database Administrator preferred.
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Bachelor's degree in a technical discipline such as IT, computer science, systems or software engineering from an accredited college or university. Proficiency in generating queries and reports, utilizing data analysis tools such as Excel, Meta Base, and SPSS.
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Review database changes requested by engineering teams for impacts to database designs, design standards, data conversions, naming standards, and documentation. In near real time, Cisco Meraki collects massive amounts of data from its devices all over the world.
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As a member of Epic's hosting team, you'll be responsible for Extract, Transform, and Load (ETL) into the Hosted SQL Server databases for Epic's customers, and you'll also help to ensure that our customers are successfully able to mine through that data using Epic's own analytical applications, SAP BusinessObjects products, Tableau, and other reporting tools used in the industry.
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The Cyber Support Develop is an essential member of the Data Analytics team, working closely with cyber architects and cloud security architect SMEs to gather key stakeholder requirements and translate them into system use-case methodologies and technical specifications.
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Join is seeking a Principal engineer (with people management experience) to lead a team to architect, build and manage the Join Digital data pipeline, including data retrieval, ingestion, ETL and data warehousing.
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