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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Remote Data Analyst.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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Nice to have] Experience working both real-time systems like Airflow Kafka, DBT, and batch data pipelines in Redshift, Presto, and Data Lakes. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlan, and Retool to orchestrate data pipelines and define workflows.
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Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
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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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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. 4+ years of data warehousing experience (Redshift, Snowflake, other.
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Expert in engineering modern warehouse technologies and processes ( Redshift, Snowflake, Netezza, Teradata, BigQuery, Presto, etc. Our data warehouse, based on S3 and Redshift, has petabytes of data and forms the base of many data products we have at TuneIn.
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Deep technical understanding of batch and streaming data systems, familiarity with cloud based data lakes/warehouses (Databricks and Redshift preferred), and exposure to open source data platforms (Kafka, Spark, Hive, dbt, etc.
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The Infrastructure must include security roles and permissions, Cloud networking assets like VPC, Subnets, Routing Tables, Access Controls lists, storage assets like S3 buckets, creating lambda functions & and layers, provisioning other AWS services like Redshift, DynamoDB etc.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake.
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas.
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Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks. Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar.
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Experience with Airflow, Redshift, AWS/GCP platforms. Be mentored by some of the most seasoned FinTech executives from Square, Lending Club, and American Express, or build your own path. Experience with Airflow, Redshift, AWS/GCP platforms.
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Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks.
$152,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today
redshift job in San Francisco, CA
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