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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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You are someone who has experience with and enjoys wearing many hats related to data, from developing big picture data strategy, to analyzing data for a stakeholder presentation, to writing code to optimize data flow into a data warehouse or a dashboard data source.
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Depth of understanding of business intelligence software such as Datorama, an expertise in media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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Capable of performing modeling and display building tasks for DMS. Experience and skills in Alstom Grid/Client Habitat and database modeling environment, Alstom Grid/Client Display Builder, Alstom Grid/Client e-terraSource, Alstom Grid/Client Substation Editor.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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At least 1 year of experience in big data technologies. Senior Data Engineer (Python, Kafka, Databricks, AWS) 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.
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Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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Role to support on premise multi data center and cloud initiatives for IS and the company. Experienced with Cisco, HPe compute, VMware, Pure Storage and Telcom based technologies. Strong experience in architectural principles in the areas of on premise, cloud-native/hybrid-multi cloud architectures, container orchestration (kubernetes/OpenShift), microservices and operational best practices across one or more cloud offering Azure, AWS, GCPExperience supporting Azure cloud deployments is highly desired.
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big data jobs Company: Deloitte in Philadelphia, ID, Maine
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