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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT.
$130,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven understanding of Computer Science fundamentals including web development, service-oriented architecture, cloud computing, test driven development and domain driven design. Bachelor’s degree in computer science or equivalent work experience: Information Technology or equivalent field.
$90,000 - $161,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
$34,000 - $65,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency of at least one programming language for data analysis (i.e., Python, R) and cloud-based relational SQL database management systems (e.g., Google Cloud Platform BigQuery.
$30 - $40 an hourInternExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Expertise in cloud computing platforms (e.g., AWS, Azure, GCP), microservices architecture, and API design. Participate in Architectural Review Board pre-sales and post-sales.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Experience in applied research, computational social science, statistics, large-scale computing, modeling, or data science, and comfort with relevant tools, e.g., Python, R, Synapse, PyTorch, scikit-learn, in the fields of artificial intelligence (AI), machine learning (ML), and/or natural language processing (NLP.
$124,800 - $292,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems.
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You must have a solid understanding of cloud data platforms and the data & analytics ecosystem, with hands-on experience across data engineering, data science and data visualization.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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5+ years full-time, post-graduation work experience in data analytics, media research, or data science with ad tech company, digital entertainment company, advertising agency, media research provider or data analytics firm.
$95,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Exceptional knowledge of: Python, Terraform, Cloud Formation Lambda Enterprise level Application Integration experience on AWS Experience with Automation and monitoring within AVS Continuous integration and continuous deployment (CI/CD) Ability to automate migration of data to RDS, $3, Snowflake, Redshift.
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