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Qualifications Strong technical accomplishments in SQL and data analysis skillsExperience with data transformation orchestration tools like dbt or DataformStrong business intuition and ability to understand complex business systemsFamiliarity with additional transformation platforms like Apache Spark and BeamExperience with MPP databases such as BigQuery, Redshift, or Snowflake.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
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The Senior Director, Data Strategy and Measurement will play a key role in designing and managing enterprise data strategy, data products, data governance, infrastructure and technical workflows to align data needs, sources and uses across Audubon.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Familiarity with one or more of the following datasets: Biomarkers, DNA methylation data, RNA sequencing data, and/or metabolomics data. The Columbia University, Robert N Butler Columbia Aging Center is seeking a full-time Staff Associate II (Biostatistician) to aid in statistical analysis and day-to-day data management associated with multiple concurrent research projects of the Aiello Research Group.
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We are seeking a Senior Cloud Data Engineer to join our team in NYC, NY/ Iselin, NJ (Need Onsite day 1, Hybrid 3 days from office, No Remote ). This position is for a Senior Cloud Data Engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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The Trauma Registrar is responsible for the collection/abstraction of required state and national trauma data bank elements into the Trauma Registry database on all patients meeting state or national trauma inclusion criteria.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.
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Experience working with cloud-based data technologies such as Snowflake or similar. Collaborate with developers and data engineers in designing the entire ETL pipeline, including data extraction, cleaning, and aggregation to develop a reliable data platform to support collections analytics, initiatives, and processes.
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Experience with cloud-based data platforms (AWS, Azure, Google Cloud) and analytics platforms (Snowflake, Redshift, BigQuery). Visualization and Analysis Tools: Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python.
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We need A senior (10+ years) DataStage ETL developer with 10+ years of experience designing, developing, testing, and implementing Extract, Transform and Load (ELT/ETL) solutions using DataStage as well as experience developing and implementing data integration, data lake and data warehouse solutions in an on-premise and cloud environments.
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Sr. Technology Risk Data Engineer - Financial Services (Python/SQL) Create and maintain documentation as required (e.g. data models, data lineage, metadata, data dictionary, information supply chain.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
data job Title: senior developer Company: Intuit in Queens, NY
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