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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python). · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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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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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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At least five (5) years of analytics development experience for a health provider, health plan or accountable care organization including:Experience working in a health plan and/or Health Delivery System focused on medical economicsExperience working in healthcare provider analytics related to managed care contracting, population management, clinical or financial decision supportStrong data mining skills using tools like SQL, R, Python, SAS, etc.
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1+ years coding in Python, SQL, and LLM modeling. Architect scalable and efficient data pipelines to ingest, transform, and analyze large volumes of structured and unstructured data within Palantir Foundry.
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Utilize scripting languages such as Python, SQL, or Shell scripts to support data-related operations. This role involves implementing data masking techniques, overseeing data access control solutions, leveraging Snowflake for data warehousing, and scripting for various data operations.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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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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Developing predictions models in R/Python, and operationalizing prediction models created by data scientists' team, implementing enterprise data catalog, full data lineage, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting the Enterprise Data Warehouse.
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Stay Ahead: Continuously update your knowledge of Analytics and Data Engineering trends, particularly in AWS, Redshift, Snowflake, Python, SQL, and dbt, to enhance our technology stack. You will utilize your deep expertise in Python, SQL, ELT processes, AWS, Redshift, and Snowflake to create and optimize data solutions that adhere to best practices in software engineering.
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Knowledge of a range of languages and tools; SQL, Python, Data bricks Starburst, Amazon Web Services (AWS) Sage maker, and data visualization solutions. Communicate analytical findings to senior leaders through data visualization and storytelling Required qualifications, capabilities, and skills.
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