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Database solutions like Snowflake, Kudu/Impala, Delta Lake or BigQuery. Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue. Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
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Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series. High-velocity high-volume stream processing with Apache Kafka and Spark Streaming. Norfolk Southern Corporation is currently seeking a Big Data Engineer with an affinity for working with others to create successful solutions.
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Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Experience with cloud based data services offered by Azure, AWS and Google. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery.
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They enjoy the challenges of consulting and thrive to knock the socks off of clients. Experience with data visualization tools such as Power BI and Tableau. 2+ years with databases such as SQL Server, Oracle, MySQL.
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A thorough understanding of SQL and experience working with any cloud based database systems (Google BigQuery, Azure, Amazon Redshift). A thorough understanding of SQL and experience working with any cloud based database systems (Google BigQuery, Azure, Amazon Redshift.
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5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake. Remarkable experience with Amazon AWS, Google Cloud, or Microsoft Azure cloud platforms.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Deep experience working in one or more cloud data warehouses (i.e. Snowflake, Redshift, BigQuery, Azure). Deep experience working in one or more cloud data warehouses (i.e. Snowflake, Redshift, BigQuery, Azure.
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Skilled in SQL and NoSQL data stores such as BigQuery, Elastic, DynamoDB, and Redis. Familiarity with cloud-based infrastructures like AWS, GCP, or Azure. We build our app with React Native and aggregate data from our data warehouse and CRM teams with AWS serverless Node.js Lambdas.
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion.
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Knowledge of other system technologies like vector, graph, or time-series databases, working with logging systems, APM, and data warehouse technologies, i.e., Redshift/BigQuery. Proficient understanding of version control systems such as Git, DevOps CI/CD Pipelines (GitHub/Azure DevOps/TeamCity.
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5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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