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Experience with Data warehouse architecture and ETL integration (Snowflake, Postgres, Oracle, SQL Server, Matillion ETL). Experience with data modeling, warehousing and building ETL pipelines.
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Understanding of data integration (ETL), data modeling, data quality integrity, data quality, data completeness, and data governance. Knowledge of XML and understanding of data transports such as SFTP and Web Services.
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A Day In The Life Data Management & Reporting Ability to create data driven solutions using SQL Server and various business intelligence tools including Power BI Design and maintain ETL processes by gathering detailed requirements and coordinating the implementation and rollout and support of relevant systems Coordinate monthly point-of-sale (POS) data collection from channel partners including data manipulation and expansion of data collections and management.
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Keywords:Boston MA Jobs, Lead C# Software Developer, C#, Python, ETL, RESTful, SOAP, OOP, Data Structures, Algorithms, Cloud, AWS, Remote, Work From Home, Software Engineer, Programming, Programmer Analyst, Massachusetts Recruiters, IT Jobs, Massachusetts Recruiting.
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In depth knowledge of technical trends within Big Data and Cloud Computing (e.g. knowledge of network topologies and devices, database and ETL concepts and SQL, multi-tenancy). Leverage technical acumen to investigate, understand, and describe the customer's experience, with a focus on translating into engineering working packages, involving both ETL chain and Front End Applications.
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IT expertise in Data Management / ETL / ELT / Data Warehousing. Expertise in architecting data conversion and migration activities. 3+ years ETL experience in Informatica Cloud IICS development and administration.
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Experience working with tools, including object-oriented programming (Python, Java), database and ETL tools (StreamSets, Snowflake, Immuta, pyspark), and associated data science libraries (scikit-learn.
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2+ years of hands-on experience working with data technology stack, preferably open-source like Kafka, ClickHouse, data warehouse, and ETL product and services. Since 2021, we've worked with more than 100 companies crunching analytics with various data tools, including Clickhouse, BigQuery, Redshift, MySQL, Postgres, and Kafka.
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Develop multiple ETL/ELT Data Pipelines to capture data across multiple source systems and into our warehouse (20%). 3 years of experience working with Data Warehouses such as Redshift, Snowflake, Vertica, or Teradata.
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3+ years of experience with integration technologies including: Ensemble, Cache, HealthCare or other interoperability platforms such as Mirth, Lyniate Rhapsody, Cloverleaf, InterSystems, Optum, etc. Bachelors Degree or equivalent in Health Informatics, technology, or a closely related field5+ years of experience with both existing and emerging healthcare interoperability standards such as HL7 V2.
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Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes. Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.
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Comprehensive experience in analytics, data science, consumer insights, visualization platforms. Experience at performing analyses and ETL using SQL, R, Python, or similar tools. Identify data instrumentation needs and work with our data engineering team to ensure successful implementation.
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Broad knowledge of backend platforms and systems such as data lake, ETL/ELT pipelines, authN/authZ, observability, and infrastructure. Proficiency in Python and modern data engineering technologies such as Pandas, Spark, Airflow, and Hudi.
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Hands-on experience in configuring Azure Event Hub, Event Grid, Stream Analytics, logic/function apps and JSON.Expert-level skills in Python, Databricks, Azure Data FactoryExperienced in the use of ETL tools and techniques and have knowledge of CI/CDExperience & Expertise in cloud NoSQL databases, ideally Cosmos DB or equivalent.
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Nmero de vagas: 10 Regime de contratao de tipo: Outros Jornada: Perodo Integral rea e especializao profissional: Informtica, TI, Telecomunicaes - Processamento de Dados Nvel hierrquico: Analista VALORIZADO Tempo de experincia: Entre 3 e 5 anos HABILIDADES Hadoop Impala Hive Spark AI machine learning Data Science / Data Engineer SQL R Python TI/Tecnologa de la informacin Agile Lean ETL Data Analytics.
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data etl jobs in Stratford, CT
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