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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Our data processing capabilities are powered by Spark, BigQuery and Databricks, handling petabytes of data.
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Influence and help to operate our entire platform using modern technologies such as Python, Flask, BigQuery, Pub/Sub, EventArc, Apache Beam, etc. Experience working with and managing a variety of distributed data systems such as Kafka, Storm, Spark, Clickhouse, Druid, Snowflake, BigQuery, etc.
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Experience with Looker or similar Business Intelligence solutions; Experience with one or more of the following: Hadoop, Spark, Flume, Hive, Impala, SQL, BigQuery. Experience with integrating multiple BI & data integration tools with BigQuery.
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<> Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery <> Experience with workflow management tools such as Jenkins, Airflow. Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery <> Experience with workflow management tools such as Jenkins, Airflow.
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Strong experience with data warehousing (e.g. Snowflake (preferred), Redshift, BigQuery, or similar) Strong experience with data warehousing (e.g. Snowflake (preferred), Redshift, BigQuery, or similar.
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Expert proficiency in SQL, encompassing standard knowledge for Google BigQuery and Snowflake, along with proficiency in scripting languages (Python, R). As a senior member, you will spearhead the design, development, and implementation of advanced data science models, utilizing large-scale log-level data in Google BigQuery and Snowflake.
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7+ years of experience with data warehousing technologies (Snowflake, BigQuery, Redshift) Support our data infrastructure which includes Snowflake, dbt, Tableau, Looker, and GCP services. 7+ years of experience with data warehousing technologies (Snowflake, BigQuery, Redshift.
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Strong experience with NoSQL & SQL databases, Datawarehouse, Datalakes such as MongoDB, DynamoDB, Postgresql, Redshift, Snowflake, BigQuery etc. Strong experience with NoSQL & SQL databases, Datawarehouse, Datalakes such as MongoDB, DynamoDB, Postgresql, Redshift, Snowflake, BigQuery etc.
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Proficient with querying and manipulating big datasets on AWS Athena, BigQuery, and MySQL. Hands on experience with ETL automation. Proficient with querying and manipulating big datasets on AWS Athena, BigQuery, and MySQL. Hands on experience with ETL automation.
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Tech stack: Google cloud, HDFS, SPARK, Scala, Python (optional), Automic/Airflow, BigQuery, Kafka, API, Druid. Expertise in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL.
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Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus. Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus.
$45 - $50 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with statistical modeling or machine learning is a plusProficient with querying and manipulating big datasets on AWS Athena, BigQuery, and MySQL. Hands on experience with ETL automation.
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Technologies: HDFS, Spark/Hive, Kafka, Apache Parquet, Avro, GCS, GCP, BigQuery, Python. Technologies: HDFS, Spark/Hive, Kafka, Apache Parquet, Avro, GCS, GCP, BigQuery, Python. Big Data Technologies: Expertise in big data technologies like Hadoop, Apache Spark, Apache Hive, or similar frameworks is crucial for efficiently processing and analyzing massive volumes of data.
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Samsung TV Plus is an industry-leading FAST (free ad-supported TV) and VOD (video-on-demand) service reaching 24 countries and millions of devices globally across TV and mobile. Professional experience with SQL and data visualization tools (Tableau, Power BI, etc.
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Experience with big-data technologies like Hadoop/Spark or GCP-BigQuery is a plus. Experience with big-data technologies like Hadoop/Spark or GCP-BigQuery is a plus. science development languages such as R, Python, TensorFlow, and PyTorch.
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