... diagnoses, symptoms, medications, investigations and clinical encounters evolve over time and translate these patterns into meaningful features and models.3. Solve ambiguous problemsTurn open-ended healthcare questions into measurable modelling problems. Decide what data is required, how the target should be defined and how success ...
... Stakeholder Collaboration & Timezone Alignment: Work during US East Coast hours (EST) to engage with clients, review reports early in the day, and translate ambiguous requirements into scalable analytical solutions.- Advanced Calculations & Data Modeling: Build efficient star/snowflake schemas and develop complex DAX calculations, ...
... Perform data transformation and cleansing using Power Query.- Optimize Power BI reports, dashboards, queries, and data models for improved performance.- Apply data visualization best practices to present complex payment and financial data effectively.- Integrate Power BI with data sources such as SQL Server, Oracle, Snowflake, ...
... improved efficiency, and stronger operational performance. Role: Senior Data Scientist Location: Bangalore- Karnataka (Hybrid) Experience: 5+ years Department: Data Science Role Overview We are looking for individuals who sit at the intersection of Data Science and Physical Sciences . You understand that industrial data isn't ...
... SAP MDG, or similar data management solutions. - Strong knowledge of SQL, Windows Server, APIs, cloud platforms (Azure and AWS), infrastructure, GitHub, and DataDog. - Understanding of data governance, metadata management, data quality, and master data management concepts. - Experience with automation and scripting tools ...
... Development Team. The ideal candidate should have strong skills in data handling, statistical analysis, and visualization tools, along with the ability to translate data into meaningful insights. Key Responsibilities : Data Analysis : - Collect, clean, and validate large datasets from multiple sources - Analyze data to identify ...
... your reporting area, ensuring consistency across all dashboards and outputs - Manage a release and change control process for dashboard updates — including testing, versioning, and stakeholder communication before any changes go live - Monitor data quality continuously; detect and escalate anomalies, breaks, or integrity ...
... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...
... Overview :We are looking for a proactive Data Support Engineer to join our data engineering team. The role involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities ...
Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services.
... pipeline https://jobeax.com/link/VnFr8SlqK92mAXEN :- 8+ years of experience in data engineering or data platform roles, with at least 5 years designing and building big data systems in a cloud environment (Azure preferred).- Deep expertise in Python, automated testing, Github actions related to infrastructure development.- Hands-on ...
... pipelines to ingest, transform, and validate data from marketplace, inventory, and sales sources Build and maintain SQL data lake storage so historical and change data stays available for analysis Automate recurring data jobs (e.g., via Rundeck) and monitor them for failures and data anomalies Use AI tools to accelerate pipeline ...
... pipeline https://jobeax.com/link/VnFr8SlqK92mAXEN :- 8+ years of experience in data engineering or data platform roles, with at least 5 years designing and building big data systems in a cloud environment (Azure preferred).- Deep expertise in Python, automated testing, Github actions related to infrastructure development.- Hands-on ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark, ...
... solutions by designing data models and reports Perform exploratory data analysis and implement automated data quality checks Optimize data feeds and ensure timely data availability using Change Data Capture and other approaches Maintain data governance by enforcing best practices in data quality, testing, coding, and peer reviews ...
Required Skills :- Solid hands-on experience in various databases, data mining and data analysis methods, utilizing advanced data tools, writing complex SQL queries.- Data preparation, data analysis, identify insights from raw data.- Analyses metrics, key indicators and other available data sources to discover root causes ...
... Spark/PySpark.- Build and manage data workflows using Azure Data Factory, Azure Databricks, and Synapse Analytics.- Design and implement ETL/ELT processes for data ingestion and transformation.- Integrate data from multiple sources and ensure reliable data movement across platforms.- Optimize data processing jobs, queries, ...
... Certified Professional or similar certifications. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries. Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka) Data Orchestration: Apache Airflow. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment. ...
... for machine learning models. Develop data integrations with APIs, databases, cloud platforms, and third-party systems. Monitor data pipelines and troubleshoot data processing and infrastructure issues. Implement data validation, monitoring, and testing frameworks. Maintain clear documentation of data pipelines, data models, ...