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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML). Key skill set: Azure data services, Databricks, Python, SQL, PySpark, GitHub.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Implement efficient data preprocessing, cleaning, and feature extraction techniques to ensure high-quality data for model training. Are well-versed in various data storage technologies, including distributed file systems (e.g., HDFS, S3), databases (e.g., Cassandra, HBase), and data warehouses (e.g., Redshift, BigQuery.
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Knowledge of data quality assurance and quality control of scientific measurement data. Implements data quality assurance and control processes, analyzes data quality results, and reports necessary changes to ensure data quality improvement.
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Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse. Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift.
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Under the supervision of the Occupational Health Case Manager/Employee Health and Safety Program Coordinator in the Occupational Health Clinic, and according to standard procedure, performs physical screenings (injury and employment related), maintains employee health and medical records, drug/medical supplies, monitors Quality Improvement, and conducts/monitors immunization programs.
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Under general supervision is responsible for the collection, coordination, processing and quality control of clinical trial data, maintaining research protocol and other research files as applicable.
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Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K, renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.
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Certifications: Privacy focused certifications such as Certified Information Privacy Professional (CIPP- US); Certified Information Privacy Manager (CIPM); Certified Information Privacy Technologist (CIPT); Certified Data Privacy Professional (CDPP.
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Expertise in Python, Databricks and other cloud-based data science platforms, and proficiency in SQL. As a data scientist, you will be responsible for working with a cross functional team of data scientists, developers and data engineers seeking to solve GM's most pressing challenges using AI, Machine Learning, and other Advanced Analytics methodologies.
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Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to or improve the performance/quality of existing health propensities and related data products.
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These requestsmay include, but are not limited to regulatory reporting requirements, research, and data analysis to support partner alignment, business development, program development, and program evaluation and performance measurement.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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Were doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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data quality jobs Title: data architect Company: Local Staffing in Austin, TX
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