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Expert-level skills in Python, SQL databases such as PostgreSQL, and big data technologies such as Databricks and Spark. Experience with ETL optimization, designing, coding, and tuning big data processes in Databricks.
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
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Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc. NET, Python And Minimum of 3 years experience with databases and data modeling / design (SQL and NoSQL) And Minimum of 2 years in full stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge Experience or exposure in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Tech stack: Big Query , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
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Yes Energy’s industry leading electric power trading analytics software provides real time visibility into the massive amount of data that is generated by the North American electrical grid every day.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Develop and maintain data pipelines and work closely with data engineering team to migrate to production Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift based on business need.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. Responsibilities:The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Demonstrate deep knowledge and ability to lead others in the data engineering team to build and support noninteractive (batch, distributed) & real-time, highly available data, data pipeline and technology capabilities.
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St. Louis is a big-league city where the best fans in baseball cheer on the 11-time World Series champions - the St. Louis Cardinals - along with the 2019 Stanley Cup winning NHL St. Louis Blues.
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Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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big data full time jobs Title: senior software programmer
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