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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Foster a culture of collaboration, innovation, and continuous improvement within the engineering organization, delivering to PMG’s ambitious roadmap.
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Experience with Snowflake/Big Query, Google Dataproc/Databricks or any big data frameworks on Spark. Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
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Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.
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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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Proven working expertise with Big Data Technologies Spark Scala/Py Spark, and SQL. Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development. 5 -7 years of Big data development experience.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Knowledge of Databricks is a big plus! Stay up-to-date with industry best practices and technologies in analytics and data engineering. As the Senior Director of Analytics Engineering , you will turn business asks into analytics and engineering challenges, resolve them, and then communicate the insights to the relevant stakeholders.
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Understand various technological solution for building Canonical Data Model (CDM) and big data solution including pros and cons associated with it. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients.
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Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering and machine learning. 3+ years of experience leading/building advanced analytics and big data solutions, large-scale data modelling, Ability to engage with executive/VP level stakeholders from the client’s team to translate business problems into high-level analytics solution approach Excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths to realizing that value.
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BGE, Inc., a nationwide engineering consulting firm that provides services in civil engineering, planning, construction phase administration, and environmental services for public and private clients, is looking to hire a Senior Travel Demand Modeler in the State of Texas.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Experience with cloud-based analytics platforms and big data technologies such as Snowflake, GCP, DBT, FiveTran, Dataiku, etc. Teragonia develops Analytics Engineering and AI solutions exclusively for private equity portfolio companies, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors.
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Completed Apache Spark Programming with Databricks, Data Engineering with. Experience in Spark and/or Hadoop, Flink, Presto, and other popular big data engines. Completed Data Engineering Professional certification & required classes.
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