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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda. Proficient in programming languages such as Python, R, SQL, and SAS.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plusHands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plusFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.
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And big data platforms like BigQuery, Redshift and Snowflake, etc. and big data platforms like BigQuery, Redshift and Snowflake, etc. Have built production grade services on cloud platforms like GCP, AWS with knowledge of Kubernetes, Terraform and other tools used in deployment pipelines, streaming services, security management, etc.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Experience with Click House, Impala, Presto, Redshift etc. js, Vue.js, Angular, etc.) The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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Google Cloud Platform (Data Proc, BigQuery) Data storage and analysis toolsets, including modern distributed technologies such as SparkSQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
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Experience with cloud warehouses, such as Snowflake, BigQuery, RedShift and Databricks. Experience with cloud warehouses, such as Snowflake, BigQuery, RedShift and Databricks. Hands-on experience working with any cloud technologies(AWS, GCP,Azure) and containerization methodologies like docker, K8s.
$186,698.2 - $233,372.77 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience managing cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Experience managing cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirementsProficiency in data architecture and modeling concepts, such as Kimball or Data VaultExpertise in data engineering tooling, such as ingesting, testing, transformations, lineage, orchestration, and/or semantic layers.
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O Experience with Big Data such as Amazon Athena, Amazon Redshift, BigQuery, Mapr and/or other open source technologies such as Hive, Spark & Presto. o Experience with Big Data such as Amazon Athena, Amazon Redshift, BigQuery, Mapr and/or other open source technologies such as Hive, Spark & Presto.
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Exposure to big data platforms – Snowflake, Redshift, Azure, Matillion, Alteryx, etc. Exposure to big data platforms – Snowflake, Redshift, Azure, Matillion, Alteryx, etc. Partner with cross functional teams such as data science, data engineering, product analysts, experimentation and instrumentation teams to contribute to advanced models (MMM, MTA), data pipelines and instrumentation, and build testing roadmap.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Experience with BigQuery, Spark or Databricks, or Redshift. Experience with BigQuery, Spark or Databricks, or Redshift. Building tools to accelerate data ingestion and transformation with lineage, data security, data privacy protection.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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G Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e. g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc) We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us.
Full-timeExpandApply NowActive JobUpdated 6 days ago
redshift job in Oakland, CA
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