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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
$150,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Skill Years of exp rating out of 10 Year last used Big data DataLake Datawarehouse Data Quality Dat a Governance Data Modelling Data Architecture, Building Data Flows for enterprise Data Modernization or Migration projects from On-prem to Cloud Proposal preparation, Client presentations Working on ETL Tools, GCP Cloud Platform Oracle Teradata Snowflake DataStage Tableau.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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2+ years with big data technologies such as PySpark, Databricks, and BigQuery. Work with big data technologies like PySpark, Databricks, and BigQuery to process large amounts of data.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Other experience such as: Containers: docker, k8, open shift, cloud storage, flannel Big Data: spark, yarn, livy, zookeeper, ranger, knox, polybase. We provide valuable support solutions on a wide range of technologies, including Data analytics, Artificial Intelligence and IoT, Business Intelligence and Power BI, SQL, Dynamics 365, and Power Platform, that elevate our customers’ trust in Microsoft and improve their business performance.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in utilizing GCP Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate enjoys and thrives in working with a variety of data engineering and analytics tools, systems and architectures while working with our product, leadership, and marketing teams across three continents to build high quality, scalable batch and real time data pipelines integrated with our products.
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Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQL. The client is seeking a Data Engineer, with experience in Google Big Query, GCP, ETL Pipeline, BI, Cloud Skills, Microsoft SQL with experience in both building and designing.
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Work on complex problems ranging from mathematical proofs to big data processes to fueling research with blockchain, financial, and gaming metrics. Hands-on experience in AWS Cloud services including building and implementing server and serverless data engineering, data science, and analytics infrastructure.
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Ensure the adherence to best practices for web analytics implementation, data governance, and data privacy regulations within Adobe Analytics. Strong understanding of web analytics, data visualization, and the ability to derive actionable insights from Adobe Analytics data.
$110,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
big data jobs Company: Local Staffing in Irving, TX
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