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E Data Engineer expérimenté pour rejoindre son équipe et contribuer à la mise en place de Unity Catalog dans Databricks pour notre client. Description du mandat - Data EngineerUn de nos clients dans le secteur de l'énergie est à la recherche d'un.
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Implementation of processes to ensure data quality, including data validation, cleansing, and error handling. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Develop and implement data ingestion, transformation, and validation processes to ensure data quality, consistency, and reliability across various healthcare datasets. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines, while ensuring the highest levels of performance, security, and data quality.
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CornerStone Technology Talent Services (TTS), in partnership with our client is looking for a Biomedical Data Analyst with database, programming, and data visualization experience (i.e. SAS, R, R-shiny, Tableau, etc), 4 or more years of pharmaceutical/biotech experience in drug development.
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Computational Research Scientist II, Physiological Data Modeling (Hybrid) Computational Research Scientist III, Physiological Data Modeling. Sr. Data Scientist, Advanced Analytics & Insights.
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This includes collaborating on a cohesive roadmap for data-related initiatives, encompassing data governance, data quality, data integration and data lineage.
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Create and implement digital data strategy plans aligned with project goals.
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Expertise in building data pipelines and ETL processes using DataBricks, dbt, and Python. Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, dbt, and Python.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Databases: Oracle, MS SQL Server, Azure PostgreSQL, Denodo - SQL: design and develop complex SQL queries, stored procedures, views, or to tune existing ones for optimal performance - Programming: Python, R - Azure Cloud - Azure Databricks - ETL Tools: Azure Data Factory, IBM DataStage etc.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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Ensuring the team delivers on time, on budget, and to specification; using every delivery as a chance to iterate and improve the team, quality of data, and the use of data. Actively leading the technology domain that includes data architecture, data engineering (inclusive of big data supporting data science), data integration, data operations, and business strategy that advances ideas into transformational new capabilities.
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Qualifications:Bachelor's degree in Computer Science, Engineering, or a related field3+ years of experience in an ETL development roleProficient knowledge of Databricks, Python, and SQLExperience with Azure, Snowflake, Azure Data Factory, and DBT is a plusStrong analytical and problem-solving skillsExcellent communication skillsAzure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
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data job Title: quality data Company: Buyers Edge Platform
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