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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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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Hands-on production environment experience with distributed processing systems such as Spark.
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Hands on working experience of data processing at scale with event driven systems, message queues (Kafka/ Flink/Spark Streaming) Hands-on experience on Data Ingestion using Apache Nifi, Apache Airflow, Sqoop, and Ozzie.
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Join a smart, highly skilled team with a passion for technology, where you will work on our state of the art Big Data Platforms. Client Corporation is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. + Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow.
$136,100 - $191,100 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.) Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
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Hands-on experience with Spark or ScalaGood experience in end-to-end implementation of data warehouse and data martsPreferred Qualifications: Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Showcase hands-on experience in generative AI, specifically experience working with large language models (LLMs) in variety of concepts such as summarization, data generation, and show experience with fine tuning such models for specific tasks.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Background with or understanding and/or hands-on experience with back-end cloud data (GCP, Big Query, Snowflake, etc.) Experience with cloud data environments (GCP - Google Cloud Platform, Big Query, Snowflake, or AWS.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) Under DSM Executives leadership, the SCI team will develop a holistic vision on how best to structure data sourcing and data quality control strategy for GRM so it can unlock business value.
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hands on big data jobs Title: senior associate in West-greenwich, Rhode Island
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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