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Senior Data Engineer
accuracy, completeness, and consistency Required Qualifications: 5+ years of professional experience in data engineering or a related field Bachelor's degree in Computer Science, Engineering, or a related technical field Proficiency in Spark and Python...for large-scale data processing Strong understanding of distributed systems, data modeling, and ETL processes Hands-on experience with cloud-based data warehousing solutions (e.g., Snowflake, AWS Redshift, Teradata)
Senior Data Analyst
Science, Mathematics, Computer Science, Statistics, Business, or related field, or 4 additional years of relevant experience in lieu of a degree 5 years of experience in an analytical or quantitative role Hands-on experience with SQL, Power BI, and Python...for data analysis Experience in the Healthcare industry is preferred Master's degree in a quantitative field is a plus
Data Analyst
Computer Science, Statistics, Business, or a related field, or 4 years of relevant work experience in lieu of a degree 3 years of data analysis or relevant work experience Hands-on experience with SQL and Microsoft Power BI Basic experience with Python...for data exploration and transformation Familiarity with analytical modeling methods and data visualization best practices
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Marketing Operations Analyst
marketing data practices Required Qualifications Bachelor's degree in Data Science, Computer Science, or a related field 3-5 years of experience in data management or analytics, preferably in a marketing context Proficiency in SQL and familiarity with Python...Experience with data platforms like Databricks/Snowflake and analytics tools such as Tableau Demonstrated curiosity and proactive approach to improving data processes
Data Engineer
Key Responsibilities Develop and maintain data pipelines using ETL/ELT tools Utilize SQL, PL/SQL, and Python for data processing and analysis Implement and manage data workflows using Airflow and Terraform Required Qualifications 8+ years of development
Senior Data Engineer
Key Responsibilities: Design and optimize SQL and Python-based data flows Develop and maintain relational and spatial data models Support data migrations and pipeline monitoring Qualifications: 5+ years of experience in data engineering or systems
Senior Data Engineer
Key Responsibilities Collaborate with cross-functional stakeholders to gather and understand data requirements Design and develop robust data pipelines in Python to import, transform, and load data into Snowflake and Data Lake environments Ensure...data quality and integrity throughout the pipeline lifecycle Required Qualifications Strong proficiency in Python and SQL (5+ years) Experience in building scalable data pipelines using Python (5+ years) Hands-on experience extracting data from REST
Senior AI Consultant
Intelligence, Information Technology, or a related field 5 years of professional experience in AI solution development, preferably in a consulting environment Proficient in developing advanced AI solutions using Azure Cognitive Search Expertise in Python...programming and building data pipelines using Azure Semantic Kernel In-depth knowledge of prompt engineering and Azure ML
Data Engineer
and experience with relational database design and optimization Hands-on experience with Snowflake and Databricks for data processing Experience building data pipelines for API data ingestion Proficiency in a programming language commonly used for data...engineering (e.g., Python)
Senior Data Engineer
Establish operating standards and service-level agreements with analysts and data scientists Lead technical discussions on data architecture and collaborate with engineering teams Required Qualifications: 5+ years of experience in data engineering and data...modeling Proficiency in Python and scalable data infrastructure Deep expertise with cloud-based data platforms, preferably AWS Experience with data pipelines using Airflow and data storage systems like S3 and Redshift Strong knowledge of SQL, Python