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Python, Ubuntu, PostgreSQL, jQuery, Django, CSS, HTML5, AJAX, Bootstrap, OpenLayers, Web Development, Front End, Database, Software, Analysis, Agriculture, Cloud, Mobile, Big Data. Solum is developing a cloud and mobile-first software platform that will greatly simplify the transport, storage, analysis, and sharing of precision agriculture data.
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Deep understanding of various technical aspects including system integration, embedded system design, processor selection, analog integration, sensor design, digital data transfer, power supply design, EMI/EMC practices, signal processing, and more.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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As a Sr. Product Manager - EMS you will be responsible for driving the strategy, development, and delivery of cutting-edge Energy Management System (EMS) solutions for standalone battery energy storage and hybrid solar+storage systems, with an emphasis on large, front-of-the-meter, utility-scale applications.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Experience in architecture & security of AWS EC2, EBS, S3, EKS, Athena, Redshift, RDS, Kafka, Glue, and other data management tools Experience in in design and implementation of granular access to data without losing the speed & agility of delivering the access provisioning.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Microsoft Certified: Azure Solutions Architect with hands-on experience in SQL Server, SQL Development and SQL Database Azure Storage, Data Zoning, Synapse DW/Spark, Datapicks Polybase, Big Data Concepts Power BI Services, platform and Paginated Reporting Automation (Azure Pipelines/Azure Data Factory.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake. The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role. A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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data entry receptionist front desk jobs Company: Michigan Institute Of Urology in Oakland, CA
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