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Expertise in open source data science technologies such as Python, R, Spark, SQL. Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Experience in using a RDBMS (MS SQL), Distributed SQL database management (Cloud Spanner)Experience with Google Pub/Sub and KafkaExperience with Google Cloud Run , Big Query , Cloud Storage , Secret ManagerExperience in Agile software development.
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The position requires a strong foundation in Big Data with knowledge of Python and SQL query language. The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery.
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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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Jack-of-all trades; Expert in one - Someone who can do anything from optimizing SQL query to writing maintainable CSS and everything in between, but they still have a preferred part of the stack and are comfortable with full-stack.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Product Engineering and Management (PEM) is Global Data Insight and Analytics (GDIA)s primary capability to enable advanced analytics technologies in the Big Data space that will lead to improved quality, design, marketing, and development of our current and future products.
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Essential Job Functions: Possess / demonstrate the engineering knowledge and understanding to design or analyze data, telecommunication, fire alarm and security systems for the design and installation, of data, telecommunications, fire alarm and security systems/networks using applicable BICSI, ANSI/TIA/EIA guidelines and NFPA -72.
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Leverage Python and SQL to develop new product-specific and foundational data products for all of Ford Quality. Create data pipelines using Astronomer, Data Flow, Data Form, and other GCP tools - plus.
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Execute cataloging, indexing, researching and fact-checking data or information about parts or products as requested and required by arrangement of data fields in a database or a system’s taxonomy.
$17ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Henry Ford Museum is a very big area and one can pay a visit to JFK's limousine. There is a manufacturing plant by the name of “Rouge Factory” that is so big it even used to have its own police and fire department.
Part-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with big data and machine learning tools and platforms. Data Engineer with Java / Python with Google Cloud Platform (Google Cloud Platform) Experience. STG has an opening for Data Engineer with Java / Python with Google Cloud Platform (Google Cloud Platform) Experience.
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Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
$60 - $70 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP. · Develop a comprehensive migration strategy for our data infrastructure and workloads to GCP.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Additionally, they will implement cloud-based solutions leveraging various Google Cloud Platform services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data Fusion, Cloud Spanner, Cloud SQL, Cloud Functions, and Cloud Scheduler.
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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense. Our preferred requirements: Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense.
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