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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Experience using data visualization tools such as Tableau, Qlik, or Power BI.
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Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others. SoFi is seeking an experienced and motivated Staff Data Engineer to drive high standard technical solutions for the Fraud, Risk, and Operations Support Technology (FROST) organization - supporting all SoFi Financial Services.
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Master’s degree in data science, computer science, statistics, computational linguistics or engineering preferred. Conduct advanced quantitative research, using machine learning (ML) and natural language processing (NLP) techniques to understand patterns in large volumes of data, identify relationships, detect data anomalies and classify data.
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Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
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Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow) Maintain detailed documentation of your work and changes to support data quality and data governance.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning.
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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Work across all phases of the Agile and Waterfall lifecycle for the design, development, testing and implementation of Master Data Management, Data Governance, Data Analytics and Data Integration solutions for enterprise-level clients.
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Experience with distributed data management systems such as Palantir Foundry and Databricks. Experience with big data processing frameworks such as Apache Spark. Working with upstream system administrators and downstream business customers to onboard data, ensuring high quality, discoverability, ease of use.
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Technical troubleshooting for tax issues which involves pulling data from databases, reviewing XML/JSON logs, and understanding the error codes being returned by Tax Engines Vertex/Avalara/Trippz.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Work From Home, Entry Level Data Entry Clerk As A Research Participant. Data entry skills. This is a remote work from home part time gig, you'll need a computer, laptop or mobile device.
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Certifications such as CISA/CISSP, DGSP/CDMP/CIMP, CISM, CIPM or others focused on controls assurance, information security, data privacy or information risk management is a strong plus. 4 years of progressive industry experience in Data Management, Data Governance, Information Risk Management, IT Governance, IT Compliance, Data Privacy, or Internal/External Technology Audit disciplines, with at least two of those years in an IT or a software development setting.
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data job Title: level Company: Vector Marketing in Seattle, WA
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