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10+ years of hands-on experience in building end-to-end systems and in ML Ops, including exploratory data analysis, feature engineering, sampling, model training with ensemble learning and/or deep learning, model validation, testing, serving, deployment and monitoring.
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Our team is looking for an outstanding leader with a talent for analytics, a strategic approach, and an orientation for action to join the InsurTech team as Principal Data Science, Analytics. Coaches other levels on the team and provides valuable support to peers as a member of analytics LT. Provides leadership to the wider team in enhancing our data strategy, up-leveling our tool kits and establishing best practices.
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GFT Data Services team is the data engineering team within Corp FP&A. On our team, we enjoy a unique vantage point into everything happening within Amazon. As a data engineering team that supports the central finance team within Amazon, our primary customer will always be our CFO. Hence a day to day activity of a Sr. big data engineer within this team will mostly revolve around solving data engineering problems for transforming our ever-growing financial data.
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The candidate must also have experience in data modelling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow. The ideal candidate will have extensive experience in PySpark and SQL and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate needs expertise in developing and managing data pipelines, particularly in a DataBricks DeltaLake format.
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Your team will manage the SDP data infrastructure, Terraform Cloud, Snowflake RBAC, and cost management for Snowflake and AWS. In addition to this, your team will also be tasked with developing Data Governance capabilities, specifically focusing on "Data Retention" and "Permission to Share.
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Workforce Development Council of Seattle - King County is seeking a Data Engineer to contribute to the mission of system transformation and racial equity in workforce development by supporting our data integration, transformation, and visualization efforts.
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8+ years of data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Design and build data pipelines: Design, develop, and implement data pipelines using Kafka, Airflow, AWS Glue, Python, and Lambda functions to ingest, transform, and load data into Snowflake.
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The NBS is a “one-stop” database of curated, regularly maintained hydrographic data collected by NOAA and other Federal providers. Ocean Career: Ocean Associates Inc. Oceanographic Data Support GIS Analyst ECO Posted On October 24, 2023.
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Partnership: Partner with various Data Leaders and other functional area colleagues, including, but not limited to: VP Analytics, VP Strategy, and Director of Analytics. Project management methodologies: MUST HAVE knowledge of project management methodologies like Agile or Scrum, as well as experience/understanding of data governance, data privacy, and data security.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data at large scale. Solid experience with data integration toolsets (i.e., Airflow) and writing and maintaining Data Pipelines.
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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
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In this role, you are the face of the company and whether you are replenishing shelves, arranging flowers, preparing produce, or receiving freight, you will always have the opportunity to interact with our valued customers.
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Data Platforms – Palantir Foundry, Databricks. We are currently seeking a Data Engineer to join our team and play a pivotal role in leveraging the Databricks platform to support the New Glenn Data Analytics Team.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Basic Qualifications 3+ years of relevant data engineering experience. The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring key performance indicators like spend and conversions for the marketing campaigns.
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Experience in Python, SQL, ETL, Data Analysis and data modeling and designing a data architecture. We apply best data engineering and business intelligence practices to data sources to generate business insights in the form of curated data.
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Title: data clerk Company: Amana Academy Charter School in Seattle, WA
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