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Norfolk Southern Corporation is currently seeking a Big Data Engineer with an affinity for working with others to create successful solutions. 3+ years of Big Data tools like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS.
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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.
$237,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
$127,050 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, Big Query. · 1-2 years of experience in Google Cloud Platform (especially Big Query.
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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.
$226,655.02 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data and cloud technologies such as Hadoop, Spark, AWS, Azure, Google Cloud, Snowflake, and Databricks. Deep experience in data integration, data analytics, data warehousing (3NF, Star Schemas), Big Data architectures (Data Lakes, Lakehouses), and Streaming Architectures.
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We are seeking a highly skilled and experienced Sr. Big Data Developer with a strong background in Spark Scala and Data bricks to join our team on a W2 contract basis. Minimum of 12 years of professional experience as a Big Data Developer with a strong focus on Spark Scala and Data bricks.
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Knowledge of data Modelling, database design, and the data warehousing ecosystem. 3-5 years’ Experience in Data warehouse and Data lake implementation. Tech stack: Looker, BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
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Work with a team of developers with experience in integrating data with CRM tools like salesforce CRM Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Flink, Nifi, Storm and Kafka on AWS Cloud Work with other enterprise teams to integrate applications with API’s & other internal Tools.
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1+ years of experience building/implementing data pipelines using Databricks such as Unity Catalog, Databricks workflow, Databricks Live Table etc. As Data Engineer at JPMorgan Chase within Employee Experience Employee Core Data Platform(Palmos) Group, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$167,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.) You understand the challenges of handling data at scale and are always looking for opportunities to leverage open-source tools to accelerate development.
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Working as part of the data engineering team, you are an expert on data pipelining and big data processing frameworks, have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Title: data scientist applied in Phenix-city, Alabama
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