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5+ years proven experience in building frameworks for data ingestion, processing, and consumption using GCP Data Flow, GCP Data Composer, Big Query. 7+ years proven experience in developing and deploying data pipelines in GCP or Azure.
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Strong experience with Azure Cloud on data integration with Databricks. Extensive experience providing practical direction within azure native services , implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Synapse/DW /Azure SQL DB, Fabric.
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Experience with big data storage, analytics, and visualization solutions (MongoDB, Hadoop, Spark, Tableau etc.) Experience building and optimizing robust data pipelines at scale using technologies such as Hadoop, Kafka, Spark etc.
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Job SummaryThe Data Intelligence Analyst brings a data driven approach to solving company problems and providing strategic insight. Required Qualifications:Strong skills in Excel, PowerPoint at least one data visualization tool (Qlikview/Qliksense, Power BI, Tableau etc.
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Experience with implementing data platform technologies, such as Snowflake, Redshift, BigQuery, DuckDB, or others. Implementing Infrastructure as Code (IaC) for automated and efficient management of data infrastructure.
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We are currently seeking an IT Security Analyst who will be monitoring computer networks for security issues. Install security measures and operate software to protect systems and information infrastructure, including firewalls and data encryption programs.
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Talent Connection is partnering with a prominent leader in the renewable energy sector to find a Sr. Information Security Analyst to join their dynamic team in Fremont, CA. This role offers a unique opportunity to make a significant impact in the security domain of a forward-thinking company.
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Implementing policies and procedures for data governance and compliance with relevant data protection regulations. Staying Current with Industry Trends: Keeping up-to-date with the latest trends and technologies in business intelligence, data engineering, and data analytics.
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Building and operating reliable and efficient data centers is essential to support the growth of Meta. The data center engineering team collaborates with all key stake-holders to ensure engineering and design of our data centers incorporate considerations from micro-levels (servers and IT equipment design requirements) to macro-levels (mechanical cooling and power distribution options) to ensure maximum efficiency and reliability of our compute infrastructure.
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Proficiency in the IT systems and infrastructure commonly used in the semiconductor industry, including PLM, enterprise resource planning (ERP) systems, and data analytics platforms. Familiarity with data visualization tools such as Power BI.
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Experience with data visualization tools (e.g., Tableau, Power BI) Implement data governance best practices to ensure data quality, integrity, and compliance with relevant regulations, such as HIPAA.
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Minimum 0-2 years related experience.
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Hands-on experience - Expertise in omnichannel marketing automation platforms (Braze, Iterable, MoEngage, Pendo), data piping tools (Segment, Stitch, etc), and CRM (Salesforce, HubSpot) Streamline data operations and work with our data team to gather insights from experiments quickly with a focus on maximizing learning from experimentation.
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Data Scientist Developer. Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization. Support project development life cycles through data modeling, reporting and analytics.
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Setting up tools (in python) to fetch data from S3 to further process and analyze data at scale. The Data Insight Team is focused on developing tools for large-scale data analysis to identify issues in the stack and compare autonomous performance with human performance.
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Title: data analyst Company: Pwc in Fremont, CA
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