... https://jobeax.com/link/TcT4eGujYc0mXu3X Microsoft Office skills (Excel, Word, PowerPoint).Effective communication, interpersonal and collaboration https://jobeax.com/link/5jzdQ66p5ds4Mf5Z data analytics https://jobeax.com/link/aBFol4QBev1SVrMA to work in a high-volume transaction https://jobeax.com/link/u8kMNrqTIwb43d8E knowledge and experience participating ...
... integrations, data flows and service boundaries. Support engineering teams throughout design and implementation phases. High Level Designs, KDDs (Key Design Decisions), Data Flow Models and Architecture Diagrams, Integration Designs, e2e solution architecture; Role will work closely with Product Managers, Business Analysts, SMEs, ...
... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...
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. Data Engineering Minimum 5 ...
... Data Transformation and Processing: Use Python, PySpark, and Fabric Notebooks to process and transform data at scale. Implement transformation logic to prepare data for analysis and reporting. Optimize data processing workflows for efficiency and scalability. Analytics and Reporting: Design and develop SSAS OLAP cubes, tabular ...
... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...
... design advanced analytics using Power Query and Power Pivot. Design and develop complex Excel-based automation solutions using VBA and Macros Build advanced data transformation workflows using Power Query Create sophisticated data models and analytics using Power Pivot Develop customized Excel templates and tools for business ...
... quality, and performance for analytics and GenAI use cases. Data Pipeline Development Build and maintain scalable ETL/ELT pipelines for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and ...
... Python,Scala,SQL. Good to Have Skills: - Any of these add-on skills - Graph Database Modelling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge. - Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Professional ...
... within our global organization. Day-to-day, you’ll work closely with teams across engineering, IT operations, and manufacturing, while also managing critical data activities, performing data analysis and cleansing, and supporting key users worldwide. You’ll specifically take care of maintaining master data governance and ...
... development team, participating in Scrum ceremonies, sprint planning, and the collective execution of work items. Experience: 1 to 3 years of hands-on experience in data engineering, data science, or advanced data analytics. Core Technical Stack: Advanced proficiency in Power BI and Snowflake. Programming Languages: Core coding ...
... 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 : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational ...
HIRING | DATA SCIENTIST We are hiring an experienced Data Scientist for TrueiD Private Limited . Location: Hyderabad Experience: 7–12 Years CTC: ₹42–45 LPA Industry: IT Notice Period: Immediate to 15 Days Employment Type: Full-Time Key Responsibilities - Design, develop and deploy advanced Machine Learning and Data Science ...
... a regulated public listed NBFC. The Data Science team owns Risk, policy, fraud signals, scorecards, and portfolio & overall analytics. We are hiring a Senior Data Scientist who has built and shipped credit decisioning systems (scorecards, BRE, feature pipelines) in digital lending. Own end-to-end credit & fraud data science ...
... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...
... across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization. Roles ...
... and analytics initiatives. Professional & Technical Skills: Must To Have Skills: Proficiency in AWS Analytics. Experience with data warehousing solutions and data lake architectures. Strong understanding of ETL processes and data integration techniques. Familiarity with data governance and data quality frameworks. Knowledge ...
A Senior Data Engineer designs and leads the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems. Monitors data platforms activity, code and resource usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures ...
... resource planning, quality, performance management, and strategic execution. Data Analytics & Business Intelligence - Collect, cleanse, validate , and analyze data from multiple enterprise systems. - Develop dashboards, scorecards, and reports using Power BI and related analytics tools. - Identify trends, performance gaps, ...