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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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We have a TMNT arcade game, sometimes we watch stuff like Star Wars or The Sandlot while we work, and we have a lifetime supply of Big League Chew in the office. 1-3 years experience, trafficking ads and driving quantifiable results for e-commerce/retail businesses across search and social platforms.
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Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Data bricks, Snowflake, Data Stage, ETL, Tableau, QlikView, AI/ML techniques, Core Java, Impala, Hive etc.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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Fluency in the languages of data manipulation (e.g., SQL) and statistical analysis (e.g., R or Python/NumPy), with ability to code (e.g., PHP) a plus, Java, Ruby, Clojure, Matlab, Pig or SQL.
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Implement data models, persistence layers, and database interactions using Java-based frameworks and ORM tools. Knowledge of database technologies such as SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) for data modeling and persistence.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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ResponsibilitiesAs a Senior Software Engineer (Full-Stack) on our Search team, you will: Collaborate with Product Manager, Designer, User Researcher, Agile Delivery Lead, Data Scientists, Metadata Librarians, and Engineering team members to explore, shape, and develop new Search & Discover product experiences from ideation to implementation at scale.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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On Development on AWS/Azure/GCP, Java, Kafka, REST/JSON, Spring, Data platforms and API platforms. The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscalers (AWS, Azure, GCP) and industry standards with solid coding and design skills.
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Development Platform/Languages: ASP.net MVC, ASP.net Webform, C#, MS SQL, web services, SOAP/Restful, Azure, CI/CD tools, EpiServer (web CMS), MS Identity Server, JWPlayer, Kafka, Java, JavaScripts, Typescript, React, Bootstrap, Xamarin, Swift, Objective C, Solr, HTML, CSS.
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The ideal candidate should possess a strong understanding of search engine marketing (SEM), excellent data analytical skills, and the ability to stay updated on industry trends. Experience in Search Engine Marketing (SEM) and Paid Search (PPC.
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Conduct site identification for utility scale solar, wind and battery storage projects across the PJM Mid-Atlantic region using ArcGIS, Google Earth and other available data. If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.
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Skills required: Azure Data Factory, Azure DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management / CICD pipelines, Logic Apps, Azure Functions.
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