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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Demonstrated work experience with Cloud: Distributed Scalable Big Data Store (NoSQL) such as CloudBase/Accumulo, Big Table; MapReduce and technologies such as Hadoop, Pig, HDFS; Serialization such as JSON or BSON.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses toproduce critical data for business analyst executives and operational leaderships.
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The Data and Analytics Solutions Architect works closely with the Chief Solutions Architects, Account Managers, Engagement Managers, Marketing, and Internal and External Consultants to develop, propose, sell, and deliver solutions for our clients.
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Data and Analytics Platforms: Exposure to and experience with at least one big data platforms such as AWS, Azure, Databricks, Qubole, Snowflake, etc. Experience with tools such as Tableau, Power BI, or matplotlib/seaborn for data visualization.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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Big Data Architect IT Consultant Master (ONSITE) This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Collaborate with Investment, Operation and Data Management teams to develop scalable and impactful analytics to enhance messaging and storytelling of investment reports. Ensure the accuracy of underlying data in data warehouse (historical exposures, asset mix, performance, policy weights and more) used for investment decision making purposes.
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The business data analyst will work strategically to support research, data aggregation/cleansing, and analysis in support of developing visualizations and providing insights for corporate partnerships, marketing, and other internal business stakeholders, while maintaining the integrity of the Lakers brand, partners, and fanbase.
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Big Data Engineer. Good understanding of data pipeline design concepts, Hands-on experience with Postgres and Snowflake, Excellent coding skills in Python, Experience with Apache Airflow and Apache Spark tools, Knowledge of AWS, Experience with CI/CD tools and processes, Good communication skills.
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As a Mr. Cooper Group team member, you play a big role in making that dream possible. As a Mr. Cooper Group team member, you play a big role in making that dream possible. High school diploma or GED Mr. Cooper Group is an Equal Opportunity Employer.
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Skills: SQL, Azure, Data Bricks, Data Lake, ETL, Data Security/Compliance/Governance, Azure DevOps, Data Factory, Big Data Platforms, Microsoft Azure Data Warehouse.
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TikTok's User Growth team leads growth initiatives for TikTok and all its platforms with a data-driven and results-focused engineering and product mindset. Build out reporting to track product performance using data visualization tools.
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big data jobs Title: big data architect Company: Ziprecruiter
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