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Significant experience with front-end languages, libraries, and frameworks (Angular, React, Vue. Js, Node.js, GraphQL) We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process.
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Cloud-based Big Data/MPP analytics platforms like Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse. Workflow management engines like Dagster, Airflow, Google Cloud Composer, AWS Step Functions, Azure Data Factory or similar.
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Familiarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or Snowflake. Experience with Big Data technologies such as HBase, Hive, Spark, Kafka, Graph DB and Cassandra.
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Design, development, implementation, operations, and support of the Big Data real-time streaming pipelines in a secure and performant manner using Apache Flink, Apache Spark and Apache Kafka.
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Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks. Knowledge of data warehousing concepts and experience with tools like Redshift, BigQuery, or Snowflake.
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Experience with pipeline orchestration software (e.g. Airflow, Dagster, Prefect) and data streaming technologies (e.g. airbyte, datastream, artie, fivetran, or your own flavor), especially in a cloud data environment, such as AWS, Azure, or GCP is essential for this role.
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8+ years of experience architecting data warehouses such as BigQuery, Redshift, Databricks. Develop ETL batch data pipelines with BigQuery or similar and orchestrate with modern orchestration tools (Airflow, Puppet.
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Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker. By establishing HackerOne's one source of truth and developing data products and solutions on this foundation, we help our Hackers, Customers, and Hackeronies gain insights and make better decisions, thereby empowering the world to build a safer internet.
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10+ years experience in data engineering with data warehouse technologies. As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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Bonus points: Proficiency in front-end technologies such as HTML5, CSS3, JavaScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js). Our groundbreaking spatial data platform turns buildings into property intelligence data to make nearly every space more valuable and accessible.
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Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions. Experience with data visualization tools and packages (e.g. Looker, Domo, Tableau, MixPanel.
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In-depth knowledge of modern web technologies and frameworks (e.g., React, Angular, Vue.js, Node.js) In-depth knowledge of modern web technologies and frameworks (e.g., React, Angular, Vue.js, Node.js.
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3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data. Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow.
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Design, develop, and maintain scalable data platforms using AWS, Snowflake, and Databricks. The Data Engineering team is focused on building platforms and capabilities that are utilized across the organization by sales, marketing, engineering, finance, product, and operations.
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big data angular js jobs Company: Pwc in Scranton, PA
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