... evaluate and recommend improvements and innovations for the platform.- Collaborate with global, cross-functional teams to define and implement best practices for data quality, accuracy, and https://jobeax.com/link/8LAIn0irUwVsnoIv Functions (What you'll need to join Insight:) :- Bachelors degree in computer science, engineering, ...
... productivity. Experience with modern data stack technologies such as dbt, DataZone, Iceberg, Delta Lake, or similar ecosystem tools. Experience in healthcare, life sciences, or other regulated industries. Experience working with HIPAA, GDPR, PII, or other regulated datasets. Advanced degree in Computer Science, Engineering, Data ...
... engineering, LLM-based data processing, RAG pipelines) is a good to have Education And Experience - Degree in Computer Science, Data Analytics, Statistics, or a related field - 3 - 7 years of hands-on experience in data analysis, reporting, or business intelligence, with a track record of turning data into business insights
... and reading dashboards in order to gain a better understanding of overall game performance. A solid quantitative background (mathematics, statistics, computer science, etc…) Highly proficient in SQ and Python Tableau and AWS experience is a plus Ability to deliver unbiased eloquently and actionable data insights. Able to ...
... Ensure an effective and engaging learning experience for all participants. Required Skills & Qualifications - 3–4 years of relevant professional experience in Data Analytics, Business Intelligence, Data Science, or Technical Training . - Prior experience conducting training sessions on the required tools and technologies. ...
... automation, data quality, transformation, catalog standards, and RAG-enabled data solutions. Education/Experience: - Bachelor's degree or equivalent in Computer Science, Information Technology, Data Engineering, or related field - 7+ years of experience in data engineering, ETL development, cloud data platforms, healthcare ...
... down complex problems into structured analysis, and communicate insights clearly to the stakeholders. Bachelor's degree in a related field (e.g., Engineering, Data Science, Statistics, Business Analytics) Experience: 4-6 years in data analysis, with demonstrated ownership of end-to-end deliverables with clear business impact ...
... reconciliation, exception identification, and data-quality analysis. Data Engineering understanding – solid understanding of ETL/ELT, data pipelines, data transformations, data models, data warehouses/lakehouses, source-to-target mappings, and data-quality frameworks. Databricks & PySpark familiarity – working knowledge of the Databricks ...
... Analytics function within a leading fashion business. You will act as a trusted advisor to the business, using your deep understanding of functional processes, data architecture, and analytics to identify opportunities, influence decisions, and deliver scalable, data -driven solutions that drive impact. This team is responsible ...
... and evaluate model performance.- Collaborate with senior engineers to productize ML models into scalable services.- Participate in end-to-end ML workflows from data ingestion to model https://jobeax.com/link/6K228mqDEvef9KNC Qualifications & Skills :- 2 to 4 years of experience in AI/ML engineering or data science roles.- ...
... deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing (NLP) techniques and tools.- Ability to work with large datasets and perform data preprocessing and analysis.- Excellent problem-solving skills and a proactive approach to challenges.- Strong communication skills and ability ...
... deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing (NLP) techniques and tools.- Ability to work with large datasets and perform data preprocessing and analysis.- Excellent problem-solving skills and a proactive approach to challenges.- Strong communication skills and ability ...
... deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing (NLP) techniques and tools.- Ability to work with large datasets and perform data preprocessing and analysis.- Excellent problem-solving skills and a proactive approach to challenges.- Strong communication skills and ability ...
... Architecture (Bronze/Silver/Gold).- Technical Leadership: Set engineering standards, conduct architecture and code reviews, establish reusable frameworks, and mentor data engineers on best practices.- Data Enablement: Deliver reliable, high-performance data platforms that support BI, data science, machine learning, and operational ...
... experience, with at least 4 years in parts management - Experience with scripting, AI, and continuous improvement enablers - Proficiency in CATIA V5/V6 - Knowledge of data science methodologies - Proficiency in software tools such as Excel, PowerPoint, Visio, Python, and Java - Familiarity with ERP systems - Strong problem-solving ...
... applicability to ongoing projects, fostering a culture of in ation and continuous improvement. Solution Architecture & Design Work closely with engineering, data science, and XOps delivery teams to create architecture blueprints aligned with enterprise and CoE standards. Guide POCs and MVPs to vali ideas quickly and drive ...
... governance, security, and compliance frameworks. Experience, Qualifications, and Education • Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake. • Education: University degree required. • Preferred: BSc/MSc in Computer Science, Data Engineering, ...