... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...
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. AWS AI Services Minimum 3 Year(s) ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
... that data capture and reporting requirements are completed effectively by using QSES's internal tools and software e.g. CRMS to maintain accurate and complete data records Engage in data, template, and query checks to ensure that client integrity and branding is maintained and upheld Take part in development opportunities ...
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. https://jobeax.com/link/6WcBICn0LM558SP0 ...
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
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 : Data Engineering ...
... work Bachelor's degree or higher in Computer Science, Data Engineering, or a related field (or equivalent professional experience) - 3+ years of experience in data engineering, analytics engineering, or a similar data-focused role - Strong SQL skills, including schema design for data warehouse or data lake use cases - Proficiency ...
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. Large Language Models (LLMs) ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... early stages through deployment. - Apply machine learning, deep learning, and statistical modeling to build and evaluate AI solutions using real-world enterprise datasets. Bachelor's or Master's in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field recent graduates welcome. - 3+ ...
... Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernisation and various AI projects. We are looking to add experienced Data Scientist to expand our Microsoft Practice with the below responsibilities: Experience & Education #Bachelor's or Master's degree in Computer Science, AI, Electronics, ...
... Fintech & Product Advisory - Advise Product, Engineering, and Growth teams on compliant data usage (e.g. KYC, AML, transaction monitoring), Support cross-border data transfer mechanisms Data Subject Rights & Governance - Oversee handling of Data Subject Access Requests (DSARs), consent management, and data lifecycle policies, ...
... organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across ...
... 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 ...
... 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 ...
... early stages through deployment. - Apply machine learning, deep learning, and statistical modeling to build and evaluate AI solutions using real-world enterprise datasets. What you'll bring Required Qualifications - Bachelor's or Master's in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative ...