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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.
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Familiarity with healthcare data standards, EHR systems, and medical terminologies (e.g., HL7, ICD-10, SNOMED CT) is a plus. We are looking to hire a staff machine learning engineer to join our RVO Health data science team.
$138,700 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Support the development of the infrastructure required for extraction, transformation, and loading of data from several data sources using multiple big data technologies. Work with Audit personnel, partners, IT, the Federal Reserve System Audit community to identify data requirements, data governance, data sources, data transformation, and data visualization/reporting needs.
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
$199 - $319Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and architect scalable, secure, and cost-effective data solutions using GCP services such as BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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MAX Digital is looking for a Data Operations Engineer to join our growing team and boost our data quality and data control efforts to meet customer and market demand. Experience with data visualization / dashboarding tools like Tableau, Looker Studio, etc.
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Proficient with statistical and data visualization software e.g. JMP, Minitab, SQLFlexibility to adapt to changing roles and responsibilities in accordance with the needs of a growing, fast paced, high-tech startup.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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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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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Experience with software development processes and tools, particularly Jira. Knowledge of big data technologies such as Hadoop, Spark, or Hive. Familiarity with programming languages such as Scala and Go. Communications:Proficient in written and verbal communication with international colleagues.
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At least 1 years of relevant experience with big data technologies including:/ Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Experience working with data warehouses and big data tools (e.g., BigQuery, Databricks) Proficient working with ETL/ELT tooling for large data sets (e.g., Airbyte) We are seeking a Data & Software Engineer to join our rapidly growing product and engineering development team.
$62,000 - $93,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
big data jobs Company: Yum Brands in Minneapolis, MN
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