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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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You will work with Rust, Go, Ruby, gRPC, Redis, Kafka, and PostgreSQL. Optimize PostgreSQL queries for high performance. We’re venture-backed by SignalFire, Rakuten Ventures, Y Combinator, HubSpot, and BAM Elevate (read more about our recent Series C.
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Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Key Technologies include: Java/Spring, Linux/Windows, ElasticSearch, MySQL/PostgreSQL, AWS, Kubernetes, Docker. 300 per year in company branded merchandise (Under Armour, Nike, Carhartt, YETI, etc.
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Erste praktische Erfahrungen in einem oder mehreren der folgenden Bereiche: Datenbanken (IBM Db2 oder PostgreSQL von Vorteil), Datenaufbereitung und -visualisierung (IBM DataStage von Vorteil), Data Science und Machine Learning Technologien (z.
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Database knowledge / experience: Redshift, PostgreSQL or other open source Databases and pipelines. Hands-on experience with various Python tooling and frameworks (Django/Flask/Pandas/Airflow.
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AWS Knowledge: Hands-on experience with various AWS services, including EKS, Amazon Aurora PostgreSQL, DynamoDB, S3, IAM, Route 53, ELB, SNS, SQS, and Managed Streaming for Apache Kafka (MSK). AWS Knowledge: Hands-on experience with various AWS services, including EKS, Amazon Aurora PostgreSQL, DynamoDB, S3, IAM, Route 53, ELB, SNS, SQS, and Managed Streaming for Apache Kafka (MSK.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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Familiarity with or desire to learn our tech stack which includes, but not limited to: Flask (Python), Elixir, AWS, RabbitMQ, PostgreSQL. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
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Required Skills: MS SQL Server MariaDB SolarWinds DPA Index Tuning E-R Diagramming Data Normalization Backup and Restore Clustered Databases Query Optimization MongoDB PostgreSQL Database Tools: SQL Server Management Studio, Azure Data Studio, SQL Profiler, SQL Prompt.
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MySQL, Redis, Elasticsearch, PostgreSQL, Memcached, Kubernetes, Docker. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
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Experience with some or similar or all of Spark, Airflow, Hive, Druid, Presto, PostgreSQL, DBT, ETL, and familiarity with key/value databases. Experience with some or similar or all of Spark, Airflow, Hive, Druid, Presto, PostgreSQL, DBT, ETL, and familiarity with key/value databases.
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Service Technologies: Java 1.8, EJB, Spring Framework, Spring Boot, Groovy, In-memory computation, REST/SOAP Web Service, WSDL, JAXB, JAXP, XPATH, XSLT,XQuery, XSD, JMS, Spring Integration, WebSphere MQ, ActiveMQ.Relational Database and Persistence: Hibernate (Object/Relational Mapping), JPA,JDBC, MySQL, Oracle, PostgreSQL, PL/SQL, Query Performance Tuning.
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Proficiency in a wide range of government-specified technologies, including front-end frameworks (JavaScript, Angular), markup and styling languages (HTML, CSS), data interchange formats (XML, JSON), and back-end technologies (Oracle, PostgreSQL, MongoDB, Redis, Elasticsearch, Solr, SQL, Node.js with TypeScript.
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postgresql job
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