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Description Manager Visualization, Data Engineering to oversee and enhance our data visualization infrastructure and ensure the highest standards of data integrity.
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Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow) 10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist, youll use your full toolkit statistical modeling, machine learning, data mining, data visualization, and software engineering to develop data products and models that are used by millions of users and power the growth of our business.
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The Sr. Data engineer’s responsibilities include collaborating with internal and external stakeholders to identify data ingestion, processing, ETL, data warehousing requirements and develop appropriate solutions using modern data engineering stack in cloud.
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The contractor shall analyze data, conduct data engineering and data product development, and deliver data products in Palantir Foundry, Power BI or Tableau. Skills: Data visualization application development using Power BI, Palantir Workshop, or Tableau.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Expertise in Data visualization tools such as Power BI, Tableau and Looker is a plusAbility to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prior intern/research lab experience using one of the Machine Learning Engineering / Data Engineering tools – Databricks, Snowflake, Airflow · Extensive Visualization Experience –Tableau/PowerBI work portfolio · Prior intern/research lab experience with ChatBot AI – NLP, Deep Learning, LLM.
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Who you are - AVP, Data Engineering. At least 5 years of combined hands-on professional experience with either traditional RDBMS (MSSQL, Oracle) or cloud-based data warehousing platforms (Snowflake, AzureSQL/Synapse, Redshift, BigQuery) including expertise with architectural elements such as keys, constraints, and clustering.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance.
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In this senior role, you will be responsible for leading a team of Data Engineers to build and operate our data platform, which includes data ingestion/cleansing/modeling, data visualization / reporting, and ML / data operations.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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The US data engineering chapter is a professional practice of data and data quality engineers. Excellent knowledge of and proven experience with our core languages for data engineering SQL or Python.
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Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains. Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices.
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modern data visualization engineering jobs Title: data engineer Company: System Soft Technologies
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