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Hands-on experience in Installation, Migration and Administration of Spotfire & BO. 7+ years experience in Data Warehousing and Business Intelligence using Spotfire, Business Objects and other BI tools.
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Knowledge of the Financial reporting ecosystem will be a plus.5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be an add-on Expert on Distributed ecosystems Hands-on experience with programming using Core Java or Python/Scala.
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More hands on with data science but understand how data warehousing architecture works- To effectively execute data scientist projects you would need to understand how the data warehousing works, should be ready to learn and work on warehousing but data science skills are most important.
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Tracks efficiency and productivity metrics to determine which tasks are behind- and ahead-of-schedule, and provides hands-on guidance to Associates to ensure that pick, pack, and ship tasks are completed correctly and safely.
$65,500 - $93,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Provides hands-on guidance to stakeholders in ERP modules including manufacturing, finance, warehousing, and supply chain management. Candidate must have strong and proven leadership experience, business acumen combined with hands-on technical expertise in an enterprise-wide information technology department as it pertains to ERP and other applications.
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Hands-on experience with database design and data modeling, preferable experience with Data Vault methodology. Assist with long-term strategic planning for modern data warehousing needs.
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Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery). If you are seeking a stimulating challenge, an opportunity for true ownership, and possess a background in overseeing extensive data engineering and operations, encompassing aspects such as real-time data acquisition, streaming data ingestion, data processing, large-scale data lake management, Enterprise Data Warehousing (EDW), and ensuring low-latency data delivery for both bussiness reporting and analytical use cases - then we are eager to connect with you.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You be working in the Card Partnerships Conversion tech team supporting Partner Conversions into Capital One. Looking for someone who is passionate about data and has experience implementing scalable data architectures along with prior hands-on data engineering experience leveraging Scala or Python in building ETL pipelines.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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Hands-on experience with ETL tools, data lakes, and data warehousing solutions (Snowflake, Redshift, BigQuery, etc. Minimum 10 years of experience in data governance, data engineering, and data strategy, with a focus on leadership roles.
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Data Warehousing: hands-on experience with Snowflake is a must. Our client is seeking a SR Data Engineer with hands on expertise in Looker and Snowflake. Strong understanding of ETL processes and data warehousing concepts.
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4+ year experience working on real-time data and streaming applications. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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Desired Qualifications:Expert hands-on knowledge of BPC embedded, HANA modelling, SAP Datasphere (Data Warehouse Cloud – DWC), ABAP, and Fox coding. High level knowledge of various replication methods to HANA or BW.Oversee the design of the data architecture and the technical architecture for the old-fashion and modern data platforms, including data acquisition and integration, data modelling, transformation and quality processes, master data management, data warehousing and data marts, data lakehouse, data fabric and data mesh.
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Strong hands-on experience with at least 3 full life cycle implementations on Oracle SQL and PL/SQL (Or other leading RDBMS such as MySQL or SQL Server), data modeling, and design.
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