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Norfolk Southern Corporation is currently seeking a Senior Big Data Engineer with an affinity for working with others to create successful solutions. 7+ years of Big Data tools like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Five (5) or more years in a Data Architecture role architecting data warehouses and/or data lakes with big data technologies such as Hadoop, MapReduce, Hive, HBase, Redshift and BigQuery.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Build data centric products that will scale well using the following platforms and technologies - Azure SQL, GCP Big Query and Graph technologies (Neo4j), big data solutions like Apache Spark, GCP Data Proc, and in Messaging platforms (Kafka.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you’ll bring to Circle:For Senior Data Engineer (III)4+ years of professional data engineering experience.
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2-4 years of experience in modern data technology stacks such as Google Big Query, Snowflake, Databricks, etc. Handle a variety of data sources such as Salesforce CRM, Pardot, Marketo, BigQuery, Google Analytics 360, Segment, Mixpanel, InfoMatch, Treasure Data CDP, among others.
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Proven experience on Hadoop/Big Data migration to Snowflake: Having Spark and Spark SQL. Mandatory Skillsets:- Snowflake, Big Data and Hadoop, Spark and Scala. Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL Writing SQL queries against Snowflake.
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. We are seeking a highly skilled and motivated Senior Data Engineer (Infrastructure) to join our dynamic team at SiriusXM. As a Data Infrastructure Engineer, you will play a key role in designing, building, and maintaining robust, scalable, and secure data infrastructure used by our data professionals in order to fuel innovation, facilitate informed decision-making, and drive sustainable growth.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus. Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Solutions Architect) are preferred.
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Primary responsibilities will include analysis in our many data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build recommendation and propensity models as well as working with Data Engineering to identify, clean and integrate data into destination stores.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
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Experience working with big data technologies: Apache Airflow, Apache Spark, Apache Kafka, AWS Kinesis, AWS Redshift. We're in search of an exceptionally skilled and highly effective Senior Software Engineer to join our Digital Insights Data Engineering team.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL); experience with data modeling, data warehousing, and ETL processes, proficiency in various programming language (e.g., Python, SQL, Java), experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Databricks, Hadoop, Spark, Kafka, Cassandra.
ExpandApply NowActive JobUpdated 16 days ago
big data jobs Title: senior consultant in Atlanta, GA
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