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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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Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS, GCP), languages/technologies (e.g., Python, Spark, SQL, DBT), Orchestration (ADF, Airflow, Dagster) and tools (e.g., Power BI), with an ability to build IP into reusable software.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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The Azure Cloud Engineer strategizes, designs, develops and work with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions.
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You will also drive the adoption of SOC2 / ISO certification(s) as we evolve from a data provider to a cloud software strategy. The Senior Staff Engineer, Security will have responsibility for all data/information security policies, standards, evaluations, and determining, implementing, and supporting cyber security standards for the global enterprise.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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The employer will alternatively accept a Master's degree in Software Engineering, Computer Science, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, Software/Java/Application Developer, Programmer Analyst, or related occupation.
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Qualifications Strong technical accomplishments in SQL and data analysis skillsExperience with data transformation orchestration tools like dbt or DataformStrong business intuition and ability to understand complex business systemsFamiliarity with additional transformation platforms like Apache Spark and BeamExperience with MPP databases such as BigQuery, Redshift, or Snowflake.
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Role: Oracle OCI/OIC and IBM Cloud EngineerLocation: JERSEY CITY, NJ JOB DESCRIPTION:As an Oracle OCI/OIC and IBM Cloud Engineer, you will be responsible for designing, implementing, and maintaining cloud infrastructure and services on Oracle Cloud Infrastructure (OCI), Oracle Integration Cloud (OIC), and IBM Cloud.
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Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud. Title: Lead Data Engineer. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
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Currently, we are seeking a motivated, career and team-oriented cybersecurity Cloud Engineer in support of the U.S. Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) Continuous Diagnostic & Mitigation (CDM) Data Services Program.
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Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., OpenShift, Docker, GCP) and programming languages like Python, BigQuery, Spark, etc.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
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Minimum 3 years’ experience working with Cloud technologies such as Synapse pipelines, Azure Data Factory (ADF), ADLS, Azure Databricks, Spark, Azure Synapse, and other modern data ETL/ELT technologies.
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software data science engineer cloud jobs Title: warehouse Company: Dice in New York, NY
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