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Experience data mining in distributed systems such as Databricks/Google Big Query/Snowflake. Build automated, scalable, repeatable, and integrated analysis using modern big data architectures in data ecosystems such as Databricks, Snowflake, Google Big Query.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). Job Description We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Experience must include two (2) years of experience in data mining and development of ETL processes; distributed data architectures and big data processing technologies such as Spark, EMR, Hadoop and Hive; and Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus. Your expertise in Airflow, DBT, and Databricks will be essential in optimizing our data workflows and enabling advanced analytics and insights.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Data Engagement Director - 1571. Not looking for an Account Manager, Business Development Director or Project Manager.
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The Data Solutions & Instrumentation (DSI) team within the Product organization is seeking a detail oriented Data Product Manager to develop data requirements and support the implementation of measurement/analytics solutions across Disney’s portfolio of streaming platforms, including Disney+, Hulu & Star.
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Have 3+ years of experience with critical infrastructure systems supporting data centers, such as power distribution, airflow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management.
$80,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
$124,300 - $227,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Qualifications: Experience with big data analysis, machine learning techniques, or computational modeling. Analyze and interpret complex data sets using statistical and computational techniques.
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Work with volunteer management team to collect volunteer data. Develop applications with graphical user interfaces (GUI) to facilitate user interaction and data visualization. : Data Analyst and Application Developer.
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Experience designing eDiscovery databases and reports; reviewing and quality checking database data loads; coordinating complex projects; developing recommendations, plans, cost estimates, budgets, procedures, and specifications for case-specific projects from discovery to trial phase; drafting project proposals and provide status reports; providing end user support and customer service; troubleshooting litigation support firm applications; processing experience a plus.
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We are seeking highly connected and networked independent technology consultants, account executives and brokers to integrate our unique and complementary solutions into their client base that are interested in advanced technologies, cybersecurity and maturing their IT operations into the world of AI and big data.
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big data jobs Title: project manager in Los Angeles, CA
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