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Responsibilities:Staff Software Engineer is a technical hands-on role, with responsibilities ranging from being at the vanguard of solving technical problems to venturing into unchartered areas of technologies to solve complex problems.
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5+ years of hands-on experience in two or more database technologies (e.g., MySQL, PostgreSQL, MongoDB) and data warehouses (e.g., Redshift, BigQuery, or Snowflake), as well as cloud-based data engineering technologies (e.g., Kafka, PubSub, Apache Airflow, Glue.
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Bachelors degree in computer science, Cybersecurity, related field of study or equivalent and practical work experience in cybersecurity engineering, development, or hands-on experience as a cyber operator (Incident Response, Threat Hunting, Malware Analysis, or similarly previously held roles.
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Good understanding of Java profile tools, Unit test frameworks like Junit and ability to write solid System Integration Test casesPublic CLOUD App developer experience, AWS hands-on experience is preferred.
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Hands-on experience with Integration Technologies RESTFul, SOA, microservices. Hands-on experience with Web Services, XML, SOAP, JSON, YAML. Familiarity with one or more databases: MySQL, PostgreSQL, MSSQL, DynamoDB, Cosmos DB, Cassandra.
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Hands-on experience supporting HCM integrations , ESS jobs and batch jobs. Experience with databases Oracle, MYSQL, Cassandra and Scripting knowledge on SQL/PLSQL, with the ability to write complex queries and optimize database performance.
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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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Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe.
$150,300 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on Python and Unix shell scripting is required with a strong advocate of DevOps principles in setting up continuous integration of source code pipelines using Bitbucket, Jenkins, Terraform, Ansible and continuous deployment pipelines using Artifactory and Spinnaker.
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Solid understanding of LLM architecture and hands-on experience using and adapting them to specific use cases through prompt engineering, fine tuning on domain specific data etc. AWS/Azure/GCP, Kubernetes, Docker, MySQL, flyway, chef.
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Hands-on knowledge of database testing, SQL/NoSQL (Any database management software: MySQL, Oracle, PostGres, mongoDB, Hadoop) Ensure all test automation standards, guidelines, and script maintenance instructions are followed by team based on testing approach.
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As a Data Engineering Principal for a leading digital agency, you will be a hands on, senior data technologist. Hands-on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.
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Here's what you need: Workday Partner Certification Minimum of 3 years of consulting experience, most recently in a Lead or similar level role Minimum of 3 years of hands on Workday Data conversion experience Minimum of 3 years of US and/or Global Data Operations + ETL including Informatica, SAS, Clover or Pentaho, XML, & MYSQL/SQL experience Bachelor's degree or equivalent (minimum 12 years work experience.
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The most successful person in this role will have hands on knowledge with one or more integration tools like Talend, or SSIS. Additionally, hands on experience with MS SQL Server, MySQL or Oracle will also be needed to be successfully in this role.
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Experience configuring and managing databases - e.g., PostgreSQL, MySQL and\/or Mongo, CouchDB. Hands-on experience with containerization technologies - e.g.,Docker, Kubernetes, OpenShift.
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