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Building data ingestion pipelines is highly technical and requires advanced skills with computers and proficiency with Big Data tools and technologies such as SQL, Python/Scala, Spark, Spark Structured Streaming, Spark SQL, Kafka, Sqoop, Hive, Kudu, HBASE, Impala, S3, HDFS, or Cloud platforms such as AWS, Google Cloud Platform, Azure, etc.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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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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Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
$137,200 - $276,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Title: Lead Data Engineer - Big Data. Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies. Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark.
$118,094 - $237,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Sr. Big Data Engineer , you will design robust, secure, and maintainable data solutions that enable our advanced Analytics, Reporting, and Machine Learning capabilities across our organization.
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Hadoop/Big Data/Databricks Certifications. Performance tuning in Big Data environments, Spark, ADF, Snowflake. Understanding of Big Data technologies such as Spark, NiFi, Impala, Sqoop, Hive, and File formats like Parquet, AVRO, ORC, CSV, JSON.
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Experience solving problems with big data, understanding data quality and data management. The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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6+ years of experience with Big Data technologies, including Apache Spark , AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. As an AI Architect, you will be at the forefront of designing and developing advanced artificial intelligence architectures, leveraging your knowledge in analytics, AI, Big Data, and public cloud.
$200,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Informatica BDM Admin (Big Data Management) / MDM(Master data management) Admin. Looking for Informatica ADMIN with strong experience in BDM (Big Data Management) / (MDM) Master data management Admin.
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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NextPath Career Partners is currently seeking a Senior Data Engineer – Azure Big Data to join our client’s team. The post Senior Data Engineer – Azure Big Data (3757) appeared first on NextPath Career Partners.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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big data jobs Title: management records in WA, Ohio
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