... intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields are to be recorded ...
MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data. Responsibilities ...
... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...
... delivery and stakeholder management.- Practical data-lake https://jobeax.com/link/hgZXWGbivT1rywct Stack & Qualifications:- Bachelors degree in computer science, Data Analytics, Engineering, or a related discipline.- Strong grasp of core data engineering principles, including data lake architectures, columnar storage formats, ...
We are looking for a Big Data Architect with experience designing scalable data solutions using Agile/SAFe practices, data mesh architecture, real-time streaming, cloud platforms, and modern data engineering technologies. The candidate should have a strong DataOps mindset and the ability to design solutions for testability, ...
... stored procedures, and data transformations. Work closely with data analysts, architects, and business teams to understand requirements and deliver reliable data solutions. Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics. ...
... integrated with dbt transformations.- Orchestrate workflows using dbt Cloud, Matillion DPC, Airflow, or Azure Data Factory with CI/CD integration.- Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.- Collaborate with analysts, data scientists, architects, ...
... eliminating duplications, coordinating information requirements. Enhance the expertise knowledge in one or multiple processes through coaching. Systems and Master Data Governance - charts of account, Business Warehouse tools. Responsible for ensuring compliance with applicable external and internal regulations, procedures, ...
... technology, statistics, pharmaceutics or another related science or mathematics field with a minimum of 8 years of SAS programming experience with clinical trial data OR Master's Degree in technology, statistics, pharmaceutics or another related science or mathematics field with a minimum of 6 years of SAS programming experience ...
... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...
... security of organizational data assets. Metadata Management: Design and maintain metadata repositories, ensuring accurate and comprehensive documentation of data assets, including data definitions, lineage, and usage. Data Quality Management: Collaborate with data quality experts to implement data quality rules, validation ...
... responsibilities will include working closely with data modelers, data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various ...
S. product. This role carries additional technical leadership responsibility, mentoring junior consultants and owning complex configuration and compliance workstreams across multiple markets.
... cleansing, reusable query logic, automation of data pipelines.- SQL & Query Optimization : Advanced joins, indexing, stored procedures, query tuning for large datasets.- Microsoft Fabric : Exposure to Fabric ecosystem for scalable data engineering and analytics.- Data Modeling & ETL : Star schema, fact/dimension modeling, ...
... development approaches. Participate in technical discussions with other teams/departments. Communicate with the Engineering Manager, Product Owner, Business Analyst, and Scrum Master to align on project/sprint goals, timelines, and resource allocation. You are a good match if you have: - 5+ years of working experience in ...
... not a backend analytics role — this is a core product + innovation role . Key Responsibilities 1. Data Strategy & Architecture Design and implement end-to-end data systems for healthcare and wellness products Identify key data points across user behavior, health patterns, and outcomes Build scalable data pipelines and infrastructure ...
... development. As a Clinical Data Science Programmer at ICON, you will develop and implement programming solutions that enhance the analysis of clinical trial data. What You Will Do: You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities ...
... https://jobeax.com/link/Dt0HlcGS2dYWmJNd Responsibilities :- Design and implement end-to-end data ingestion and transformation pipelines using Azure Data Factory to ensure seamless data flow across the enterprise.- Develop high-performance data processing solutions using PySpark and Databricks to handle large-scale datasets and complex analytical ...
... Visualization : - Support and maintain Tableau and Power BI platforms that cater to business intelligence needs. - Utilize Alteryx for ETL processes and to streamline data preparation, ensuring data consistency. - Data Mining and Advanced Analytics : - Leverage Splunk for advanced log analysis and operational insights, optimizing ...
... the management of end-to-end data infrastructure—from design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. ...