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Position Title: Data Engineer, Python - Remote. 2+ years of hands-on python data engineering experience. The ideal candidate for this role will have a strong attention to detail and can work with 3rd - party data feed providers to ensure reliable and consistent delivery/retrieval of data into our S3 data lake supporting our Snowflake data warehouse.
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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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Experience in Big Data technologies - Hadoop, Tableau, MongoDB, Python, Oracle, Spark, Cassandra, Teradata. Experience in data modeling, data architect, solution architect, data warehousing, business intelligence concepts and master data management concepts.
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Experience designing, building, and maintaining data processing and transformation pipelines (AWS Glue, Apache AirFlow, dbt, Snowflake) Design and implement data movement and transformation pipelines (e.g., AWS Glue, Apache AirFlow, dbt, Snowflake.
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5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Experience and expertise in products using modern analytics cloud-based services and platforms such as AWS Sagemaker, Glue ETL, EMR, Data Wrangler, Glue Catalog, S3, Python, Tableau, Pyspark, SQL, Attunity and other adjacent tools used for data exploration such as AWS Athena and Presto.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Qlik Sense developer will be responsible for analyzing financial data/data modeling, using SQL and Qlik Sense. The Qlik Sense developer will be responsible for analyzing financial data/data modeling, using SQL and Qlik Sense.
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All data landing solutions are created leveraging Azure Data Factory and Databricks. Azure Data Factory and Databricks Development (Azure's ETL Solution) Data Modeler - Design & Create Transactional Database Models.
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3+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Among the Centers personnel include a Senior Data Scientist, Senior Data Manager and Senior Data Analyst, Research Coordinator, Scientific Writer and Medical Editor. Among the Centers personnel include a Senior Data Scientist, Senior Data Manager and Senior Data Analyst, Research Coordinator, Scientific Writer and Medical Editor.
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Experience with Typescript, SQL, PythonComfortable with cloud technologies such as Azure, Databricks, AWS, & RedshiftComfortable working in a test-driven development environmentComfortable working with (or understand the benefits of) monitoring tools such as New Relic, Data Dog, Monte CarloComfortable working with (or understand the benefits of) infrastructure as code technologies such as Terraform or CloudformationEven Better.
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Familiarity with industry standards such as CDISC data structures and guidelines for data submissions. Proven expertise in PK/PD data analysis and interpretation, including modeling and simulation.
$111,400 - $203,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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data job Title: data manager Company: Deloitte in Charlotte, NC
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