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Citibank, N.A. seeks a Data Quality Lead Analyst for its Getzville, New York location. 6 years of experience must include: Collibra, Ab Initio; SAS, IBM Cognos, Tableau, DataStage, Informatica; Databases: DB2, Oracle, Hadoop; Agile, ALM-JIRA, ALM-Confluence, Scrum, Kanban, SAF; Core Banking, Credit Cards, Commercial Payments, Credit Risk, Global Liquidity, Cash Management; CCPA, GDPR, CCAR, BCBS, Data Protection Act; Python and Unix shell scripting; and Project Management.
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Assist with data entry, data validation, and data corrections as needed to ensure accuracy and completeness of HR data. Manage user access, security roles, and permissions to ensure data integrity and compliance with regulatory requirements.
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Innovation in Data Technologies and Practices: Lead the adoption of cutting-edge data technologies and methodologies to enhance data accessibility, quality, and insights. Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Title: Lead Data Engineer. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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The incumbent will lead and help to develop a newly formed data-scientists taskforce in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation.
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Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems. You'll work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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We are seeking a dedicated Principal Data Engineer with a passion for pharmaceutical research, to lead and manage our critical Data Engineering team as they strategically enable scientists across Vertex with data.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data. Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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Experience in engineering data warehouses/data lakes (Snowflake, BigQuery, Redshift). Participated in establishing data management capabilities such as metadata management, lineage, data governance, data discovery, data protection, and data quality.
$315,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Preferred Skills Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS and ADLS. Strong understanding of data integration technologies, including Spark, Kafka, eventing/streaming, and Azure DataFactory.
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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data job Title: operations lead Company: Toast
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