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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Proficient in Python coding and frameworks knowledge. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Nice to Have Cloud Database knowledge of platforms like Diamanti, Nutanix, Kubernetes, Docker, Openshift and Azure Developer mindset with skill in Ansible, Python, Java or C/C. Has a degree in Computer Science or equivalent with 2+ years professional experience in financial industry Developer mindset with 2 years programming skill in Ansible, Python, Java or C/C.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Proficiency in data analysis tools (, Python, R, or similar) Excellent analytical and problem-solving skills Comprehensive knowledge of at least one substantive area of compliance, such as banking regulations, anti-money laundering, or anti-corruption Added bonus if you have:Effectively communicates with all levels of technical and non-technical personnel.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Microservices; Apache Kafka; J2EE; Jenkins; Spring; Hibernate; Java; Javascript; Python; SQL; REST; SOAP; Maven; JSON; Dynatrace; Splunk; GIT; Cucumber; Junit; Automated Testing; Manual Testing; Regression Testing; System Integration Testing; and Unit Testing.
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Total level of experience: Seeking developers with python, spark, pyspark, and SQL developer experience in AWS. AWS Data Engineer(Python) Experience developing and deploying application code using SQL, Python, spark.
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Oversee planning, direction, and coordination of support and maintenance for medium to large-scale integration platforms, utilizing your expertise in API Management tools, Integration platforms (e.g., MuleSoft, Boomi), and Scripting languages (e.g., Python, Bash.
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Develop highly scalableapplications in Python/Django framework. As a result of this expansion, we are currently seeking a talented and motivated Python Developer to join our Risk Technology Group.
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Technical Requirements: Required Software: SAS (minimum requirement) Nice to Have Software: R Shiny Python Preferred Experience: Competitive analysis with other drug products. Experience with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, and CPT. Experience with Ex-US healthcare databases such as the THIN database is a plus.
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At least 10 years of professional experience as a Data Engineer using Python, Spark, PySpark, and SQL in AWS environments. Experience developing and deploying code using SQL, Python, or Spark (at least 8 years.
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Experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics. Experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics. Experience working with Big Data environments (i.e., Hadoop, Teradata, Snowflake.
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Proficiency in SQL, Python, R, Apache Spark or similar product or language is a plus. Knowledge of public clouds (AWS, Azure, GCP) with familiarity in data warehousing solutions like Snowflake and Databricks.
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Excellent programming skills in Python and SQL. Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Data warehouse environment.
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python job Company: Advantis Global in Elizabeth, NJ
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