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Job Title:VP, Data Center Power ProcurementCompany:PrologisA day in the lifeWith rapid increase in Artificial Intelligence (AI) and associated need for data center development, Prologis is developing a strong pipeline of real-estate properties globally for our customers many of which are the hyperscalers.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information. QualificationsProgression towards a master’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Using Postgres as a data warehouse, AWS Redshift and BigQuery. should have cloud data warehouse experience (Snowflake also okay) Senior Data Engineer. Need experience in building data pipelines for ML use cases, data plumbing work for building training data sets, evaluation, etc.
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Optimizing and managing our tech stack, including Redshift, dbt, and BI tools, to ensure data accuracy and accessibility. Expertise in data modeling and ETL processes, particularly with DBT.
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We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
$212,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes.
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Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using AWS services (e.g., S3, Glue, Lambda), ETL tools (e.g., Qlik, Fivetran, Informatica IICS), and Snowflake.
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Proficiency in data lake and pipeline tools and frameworks (e.g., Databricks, Apache Kafka/Kinesis, AWS Glue). This role is eligible for fully remote and will report into our Director of Data Engineering - Platform Engineering.
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Within the Judicial Council, the Office of Court Research supports the Council’s mission of increasing access to justice with data, research, and analysis to support data driven decision-making in the Judicial Branch.
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Proficiency in SQL and experience with data warehousing technologies such as Snowflake, Amazon Redshift, Google BigQuery, or similar. Data Governance: Implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements, including access controls, data masking, and encryption.
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Our Data & Analytics team builds and manages the infrastructure that supports our data lake (Databricks), data pipelines (dbt), data ingestion (Fivetran & custom Python scripts), and data visualizations (Looker/Hex.
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Strengthen an integrated LBNL-UC Berkeley program in nuclear data evaluation and measurements that utilizes unique local capabilities including the 88-Inch Cyclotron and the Nuclear Technology Innovation Laboratory on the UC-Berkeley campus.
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Experience with using DBT/Airflow to build Data Pipelines in Snowflake. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.
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Title: data Company: Jobot in Oakland, CA
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