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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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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card.
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
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Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces. Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks.
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Develop and maintain creative solutions to evolving challenges that span data processing, data modeling, and machine learning model deployment. Partner with the analytics and data science team members to understand and optimize downstream data usage.
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About the role: Gen3 is currently seeking a talented Data Taxonomy Specialist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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Why Business Technology Solutions For anyone who wants to use technology and data to make a difference in people’s lives, shape the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we’re ready for you.
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Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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At least 5 years of combined hands-on professional experience with either traditional RDBMS (MSSQL, Oracle) or cloud-based data warehousing platforms (Snowflake, AzureSQL/Synapse, Redshift, BigQuery) including expertise with architectural elements such as keys, constraints, and clustering.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for: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.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Build scalable data pipelines using varieties of tools, including Qlik Replicate, Five Tran, Databricks, etc. Working knowledge of big data tools (e.g., Hadoop, MongoDB, Kafka, HDFS, YARM, etc.
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Title: data Company: Operation Samahan Health Clinic
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