... detection, and personalized financial services. You will collaborate closely with product managers, software engineers, and business stakeholders to translate ambiguous financial data into scalable, production-grade models. By deploying high-impact algorithms, you will directly influence our core business metrics, ensuring ...
Looking for a Data Engineering professional to work on our Hadoop-based data warehouse, contributing to scalable and reliable big data solutions for analytics and business insights. You will be building, optimizing, and maintaining large data pipelines and warehouse infrastructure in this role. Key Responsibilities Minumum ...
... professional experience.- Proficiency in programming languages such as Python (with libraries like scikit-learn, pandas, NumPy) and R, along with strong SQL skills for data extraction and manipulation.- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Spark, Hadoop) for scalable data processing ...
... plus. - SQL Experience. - GenAI experience in one or all of Prompt Engineering, RAG, Fine-tuning is a must to have, Agentic AI is a plus to have. - Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse). - Experience with version control systems, such as Git/Github. - Big Data processing framework experience ...
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
... large databases in a business environment.- Experience with building data pipelines and applications to stream and process datasets at low latencies.- Fluent with Big Data technologies like Spark, Kafka and Hive.- Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service ...
... professional experience.- Proficiency in programming languages such as Python (with libraries like scikit-learn, pandas, NumPy) and R, along with strong SQL skills for data extraction and manipulation.- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Spark, Hadoop) for scalable data processing ...
... 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 ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
... data consumers to ensure that data models meet business requirements and are aligned with industry best practices. Create and implement logical and physical data models that support structured and unstructured data across RDBMS and big data platforms. - Design and implement semantic data models that optimise data accessibility, ...
... decomposition, and multi-agent collaboration - beyond Working knowledge of MCP (Model Context Protocol) and other emerging standards for connecting LLMs/agents to tools, data sources, and context experience integrating or building MCP servers - Google ADK, or similar) - Expert proficiency in Python and its data/ML ecosystem (Pandas, ...
... report performance tuning, and implementing Row-Level Security (RLS).Secondary Skills:- Experience with AI/ML integration platforms (e.g., Azure OpenAI, Copilot, Python/R scripts for predictive analytics in Power BI).- Knowledge of cloud data engineering & tools (Azure Data Lake, Synapse, Databricks) and automated pipeline integrations.- ...
... 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, ...
... analysis.- Develop data engineering solutions using Python.- Optimize ETL processes for performance, scalability, and reliability.- Monitor and troubleshoot data pipelines and resolve data quality issues.- Implement best practices for data modeling, database design, and data governance.- Collaborate with data scientists, ...
... Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related . ➢ Experience with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related. ...
... cloud-based data warehouse: Snowflake Experience with relational SQL and NoSQL databases Experience with object-oriented/object function scripting languages: Golang, Python, Java, C++, Scala, etc. Experience with big data tools: Experience with data pipeline and workflow management tools like Airflow Be a data champion and seek ...
... and forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...
... full stack application development, backend engineering, data engineering or platform engineering. - Hands-on experience with at least one backend language: Python, .NET Core, Java, or Node.js. - Strong experience with SQL, data modelling, ETL/ELT methodology and data warehouse concepts. - Experience with Git, CI/CD, Azure ...
... GQL); understanding of trade-offs between RDF triple stores and property graph databases. - Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding. (Recommended: Required, per Shardul pending confirmation) - Strong Python and SQL skills with production-grade ...