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Title: Lead Data Engineer - Big Data. 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.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) Expertise in Snowflake, Databricks, Big Query, Synapse.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Job Title: GCP Data Engineer. Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in utilizing GCP Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring.
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Our client 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.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Big Data Engineer. Seeking an experienced hands-on enterprise Data Engineer Lead. You will be supporting the move to cloud for the first time in history for this company.
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Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow etc. Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
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Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow) Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake) Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Position Overview:Join our Data Office as a Senior Big Data Application Engineer, where you ll be a key player in optimizing our Big Data Factory operations. To effectively navigate this increased scope we're looking for a Senior Big Data Application Engineer to join the team.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
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The Big Data Engineer will be responsible for interpreting the requirements of various Big Data Analytic Use Cases and Scenarios and driving the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets.
$128,400 - $215,800 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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databricks big data engineer jobs Title: data engineer sr Company: Kroger
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