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Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks. Lovelytics is seeking a Technical Lead (Level 4) Consultant with experience delivering strategic Databricks client engagements to join our Data & AI practice.
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Ability to communicate in a clear and concise manner and success working in Agile Product Teams (APTs) Experience as a data modeler and/or data architect Experience with DoDAF Artifacts Experience with existing Army Pay and Human Resources data and systems.
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Experience (at least 5 years) in three of the following areas, with Expertise in at least one: Networking, System Development, Software or Application Development, AI/ML, Data Science, Data Warehousing, Data Governance, Hardware Engineering, Operations, System Architecture, Cloud Architecture, Electronic Health Records, Information Assurance or Cyber Security, ITIL Framework, Agile Development, Health System Interoperability, and Life Sciences.
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Experience developing digital modernization solutions involving data sciences, machine learning, or artificial intelligence. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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Certifications in relevant data warehousing technologies or platforms (e.g., AWS Certified Solutions Architect - Data Warehousing Specialty, Snowflake Certified SnowPro, etc.
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11+ year experience in the Snowflake and Data warehousing space architecting solutions on any cloud platform (AWS Preferred) Role: Snowflake data Architect. Data Governance & Data Security throughout the environment.
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What sets you apart:Experience in complex migrations from legacy data warehousing solutions or on-prem data lakes to GCPExperience in maneuvering resources in delivering tight projectsExperience in building real-time ingestion and processing frameworks on GCP.Adaptability to learn new technologies and products as the job demands.
$117,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This includes all aspects of data creation, data cleansing, metadata creation, data integration, data warehousing, Extract, transform and load (ETL), business intelligence (BI), data migration, and data enrichment.
$75,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Job Title: Data Architect. -Candidate shall have extensive experience building star schemas, Type I and Type II dimensions, facts to dimensions matrices, and working with large enterprise data warehousing, reporting, andBusiness Intelligence (BI) projects.
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Knowledge of design patterns and architectural concepts, including microservices, low-latency systems, data warehousing, APIs, event brokers, and cloud services, preferably AWS (Amazon Web Services.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
$125,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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May provide guidance for enterprise initiatives for data governance, metadata, data stewardship, data quality, master data management. Full text indexing and searching technologies such as Lucene and ElasticSearch, tuning indexing and searching for search relevancy and accuracy; using data mining and machine learning tools and algorithms.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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IMS, DB2, Oracle and Teradata Databases, Data Warehousing. Java Developer, DB2, Cogno, PEGA, Enterprise Architect(SCEA), Project Management, Certified Quality Analyst (CQA), Scrum Master Certification, Lean/Six Sigma.
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AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Associate. Experience with data warehousing platforms like Redshift or Snowflake. Strong understanding of data warehousing concepts and data modeling principles.
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warehousing data architect jobs in Falls Church, VA
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