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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Familiarity with cloud platforms, especially AWS, Azure, or GCP and more specifically integration of these platforms with Snowflake and dbt at the center. Documentation and Best Practices: Maintain documentation for Snowflake and dbt configurations, processes, RBAC, etc.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow.
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We’re looking for a Senior Data Engineer who will be responsible for designing, implementing, and maintaining data pipelines that integrate with upstream data sources, organizing data in our Snowflake data warehouse, and leveraging dbt to transform and model data for analytics and reporting purposes.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
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Expertise with diverse DB technologies like RDMS PostgreSQL, Graph, NoSQL (document, columnar, key-value), Snowflake. This role is based out of our Austin, Texas office, reports into the VP Technology of DTS Business Systems and offers flexibility to work remotely as schedule permits.
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Required 5 years - Experience with databases, data lakes, data modeling and data analytics with products such as PostgreSQL, Snowflake, Elasticsearch, Elk, and/or Qlik. Preferred 2 years - Hold one or more Cloud certifications such as AWS Certified Solutions Architect, or Microsoft Azure Architect Design and/or equivalent work experience.
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Experience with data warehousing and analytics (including Snowflake, Redshift, Databricks, or Big Query) Experience with data warehousing and analytics (including Snowflake, Redshift, Databricks, or Big Query.
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Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS) Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) ETL/BI: Airflow, dbt, Fivetran, Matillion, Looker, Tableau.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Working knowledge of Business Intelligence tools: Tableau and PowerBI. Experience with other Big Data tools such as Spark, Snowflake, and Kafka Experience creating and using APIs Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 3+ years experience in Data Engineering role.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Familiarity with other analytics tools and platforms including MS PowerBI, Tableau, Spotfire, Qlik, Azure Analytics, AWS Redshift, Snowflake and Google BigQuery. Familiarity with other analytics tools and platforms including MS PowerBI, Tableau, Spotfire, Qlik, Azure Analytics, AWS Redshift, Snowflake and Google BigQuery.
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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
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Experience with some of the following technologies and concepts is not required but would be a plus: Microsoft Operating systems, PostgreSQL (AWS Aurora), MongoDB (Atlas), Linux Operating systems, Active Directory, SSIS, OLTP data environments, Data Archiving, Snowflake, Wait Statistics, Solarwinds DPA/DPM, Policy Based Management, PowerShell, MySQL, DB2, Agile Methodologies, Amazon cloud database technologies, VMWare, Cloud Automation.
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snowflake job in Austin, TX
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