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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stackExperience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set upExperience applying both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving.
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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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Strong digital marketing analytics skills, such as but not limited to web analytics, contextual advertising, email, AI/ML, surveys, big data, data-driven decision making, customer data management, search engine optimization (SEO), search engine marketing (SEM.
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Stores and processes large data sets using big data and Cloud technologies – Hadoop, Snowflake, and Amazon Web Services (AWS). DE performing data analysis, profiling, mining, extraction, and cleansing of large data warehouses using DB2, Snowflake, AWS, Hadoop, SQL Server, and Oracle; and generating visual insights for business and end users by creating data models and right data structures using Qlik Sense and Tableau.
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Director of Media, Video & Audio plays a vital role in our mission by ensuring our investments in Big Screen Video (TV and CTV), Audio (Radio, Podcast and Streaming), Print (Direct Mail and Inserts) and OOH (Out of Home) drive measurable and sustainable long-term growth for The Farmer's Dog by effectively introducing us and building connection with novel audiences.
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T h e Developer w ill w o rk cl o s ely wi t h proje c t m a n a g ers, I T s t af f , p r o g ram s t aff a n d o t h er s t akeh o l d e rs t o defi n e a n d d e v e l o p r eq u ire m ents f o r the enterprise data warehouse.
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Forms part of the Analytics Open Hub Global Data and Analytics team to deliver the strategy, execute plans, providing specific and deep expertise in data design and modelling, data warehousing, big data platforms and data engineering.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Experience working with data SaaS and BI tooling (Fivetrain, Looker, Databricks, etc.) Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy.
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The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We are nimble and scrappy, employing multiple traditional and non-traditional methods & data sources to tackle consumer insights, audience exploration, brand health, competitive analysis, media attribution, media accountability, data dashboarding and advanced modeling.
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Position Summary: The Senior Manager of Data Analytics predominately uses a tech stack of Power BI, SQL, Visual Studio Code, Snowflake, and Excel to answer questions to data that is ETL’d from our ERP, CRM, and various internal and external data sources.
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Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.
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Experience with big data analytics, preferably in cloud technologies such as Snowflake, AWS, GCP, and Azure. 2+ years of experience in developing analytics solutions in a cloud environment using modern data science tools such as AWS, Azure, or GCP.
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big data jobs Title: developer Company: Simventions Inc Glassdoor in Jersey City, NJ
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