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Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform. 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.
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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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An experienced Solutions Architect well versed in designing & modernizing big data architectures on Google Cloud Platform (GCP). GCP Data & Analytics Solution Architect with 12+ years of experience in Data Analytics and Big Data.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Experience with at least one big data technologies platform (Apache Spark, Snowflake, cloud-based platforms – Microsoft Azure, AWS etc.) Proficiency in programming languages such as Python, R, SQL with the ability to manipulate and analyze structured and unstructured data - including at least one of JavaScript, C#, or other web development tools.
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4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage. 2+ Years of demonstratable data governance & data management knowledge.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies. Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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Looking for a highly motivated Lead System Engineer (Data Engineering Platform Team) for AT&T Supply Chain Management Value Stream Applications. The role requires experience in Data Engineering including Data Ingestion and Data Extractions, and Snowflake platforms.
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Proven experience leading Databricks migration projects and expertise in PySpark, Airflow, SSIS, Azure Data Factory, SQL Server, and Python scripting. Migrate existing workloads from SSIS, Azure Data Factory, Python, SQL Server, and other data processing and transformation tools without altering existing functionality.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Experience with at least one cloud provider (AWS, Azure, GCP), including their big data processing services.
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Leverage cloud-based big data services and architectures (AWS, Azure, or GCP) for processing large datasets. Experience with additional big data tools like Hadoop, Kafka, or similar technologies.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; Data architecture, data modeling and data management across relationship, columnar and noSQL technologies like SQL Server, MongoDB, Vertica, neo4j.
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Experience in Big Data/Data Warehousing at scale- Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR.
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big data jobs Title: management Company: Blackrock Inc in Dallas, TX
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