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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake. Ensure data quality and integrity throughout the process.
$120,000 - $202,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 10 years of experience in leading, designing, and developing data lake and data integration architectures, using FAIR data set and prior experience in managing end-to-end engagements in BI using Qlik Sense and Data Science languages like R and Python; should possess knowledge of Cloud platforms like AWS suite, modern data storage layer like Snowflake, dbt, FiveTran and cloud data management applications like Immuta, Collibra and Reltio/ Veeva Network.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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As a member of the Space Information Management team within Planning Resources, this position will maintain relationships with 30 groups contributing floor plans and space data to the University Space Inventory (USI) system on the MRI CenterStone software platform.
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent. Data Architecture experience with AWS Database / Data Warehouse / Data Platforms (Kinesis, Glue, Redshift, S3,) - They have no interest in folks with just Azure or GCP.
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As the Enablement Data Scientist, Integrations & Partnerships, you will support DataRobot’s partnership ecosystem by developing, providing, and maintaining hands-on expertise in our technical integrations.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
$143,500 - $179,960 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Tools and Technologies : Proficiency in data movement and integration tools like SQL, dbt, Qlik-Talend, AWS Lambda, AWS Glue, Informatica, Python, and Java. Strong knowledge of SQL, relational, and MPP databases (e.g., Snowflake, PostgreSQL, Redshift.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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data job Company: Trio Healthcare in Boston, MA
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