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Expertise with data warehouse tools (e.g., BigQuery, Snowflake, Redshift, etc) Expertise with data visualization tools (e.g. Looker, Power PI, Tableau, R) In addition to the creation of custom software and data models within an Agile & DevSecOps environment, the candidate should exhibit excellent problem solving and data analysis skills as well as a proven ability to work independently.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Eagle Bank. We are a place where we take pride in our low egos, value curiosity and learning.
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Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Data Scientist/Senior Data Scientist.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. 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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Design, build, and deploy data engineering pipelines that extracts, transforms raw data into analytics base tables to support downstream machine learning models using languages such as Python, R and SQL.
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7+ years of experience in data architecture, including working with AWS tech stack, such as S3, RDS, RedShift, or Glue, and Databricks, Spark, Pyramid Analytics, and SAS. As a data architect on our healthcare team, you'll use your extensive technical expertise to lead the design of data architecture solutions for our foundational technologies, such as AWS tech stack, Redshift, Glue, Databricks, Spark, Pyramid Analytics, and SAS. You'll resolve routine data architecture-related issues in collaboration with business analysts and technology teams by partnering with data scientists, analysts, and business stakeholders to understand their data requirements.
$122,200 - $227,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience in data engineering or integration roles with a focus on Python, Spark, and Databricks. Design and architect data integration solutions to connect various data sources and systems using Python, Spark, and Databricks.
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
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You will be involved in understanding digital asset trading and transaction data (across equities, commodities, fiat, cryptocurrency, etc.) As a data and implementations analyst, you will work closely with our Subject Matter Expert (SME), engineering and product management teams to understand and work across all areas of our public sector client solutions.
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Center 3 (19075), United States of America, McLean, Virginia Senior Manager, Ontology and Data Governance The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
$199,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and maintain infrastructure for effective data extraction, transformation, and loading (ETL) utilizing AWS and SQL technologies, streamlining data processing workflows. Familiarity with dbt for data build tooling.
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Organizes SEVIS data processing under DHS guidelines and maintains data quality control management. Runs weekly reports, creates graphics and does data analysis as it relates to international student trends.
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Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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data job Title: data Company: Accenture Contractor Jobs in Arlington, VA
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