10,043 it data engineer jobs in India.

Title: Data Privacy Manager As a data protection specialist, you will monitor and prove compliance with all applicable privacy and data protection regulations by providing operational control and monitoring through reporting. In order to monitor and uphold compliance with the UK GDPR and other pertinent privacy or data ...

... clearly to the stakeholders. Bachelor's degree in a related field (e.g., Engineering, Data Science, Statistics, Business Analytics) Experience: 4-6 years in data analysis, with demonstrated ownership of end-to-end deliverables with clear business impact Strong understanding of business processes, including acquisition ...

... business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and ...

... action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics ...

... core processes, performance management, tactical coaching, and ensuring productivity, quality benchmarks, and SLAs are met consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, ...

... Scientists and Analysts to design and implement advanced data models and analytics solutions. Define and drive the organization's data science roadmap aligned with product, business, and customer objectives. Partner with stakeholders across Product, Engineering, and Business teams to identify high-impact data opportunities. ...

... video, with defined quality metrics. 5+ years of experience in Analytics / Data Science, with strong exposure to Trust & Safety, Risk, Fraud, or Marketplace Integrity. - Hands-on experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with ...

... governance, quality control, and compliance with regulatory requirements. - Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research. Your Profile: You will have solid clinical data science experience, with the ability to manage competing priorities ...

... support enterprise-wide data processing. Our product managers and engineers design and build data systems to solve some of the most complex technical and business data management problems in the industry, and they partner with data and analytics experts to deliver high quality analytical and derived data to our internal and ...

... areas of Customer Engagement & Loyalty. Collaborate with business owners to take a data-driven approach in identifying revenue or customer engagement opportunities and recommend actions for further improvement. Stay current with the advancements in AI and software engineering tools and identify ways of implementing them ...

... (e.g., Data Science, Computer Science, Electrical / Mechanical / Chemical Engineering, Mathematics) with 5+ years of professional experience; or a Master's degree with 3+ years of professional experience. Professional experience in data science, data / software engineering, controls, operations research, or related roles in ...

... development teams Strong Skills of machine-learning and AI Strong Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure MSc/BSc/BA in Computer Science, Engineering or relevant field; ...

... connect high-quality, governed data with emerging AI capabilities. The position combines strategic architecture leadership with hands-on technical design across data, AI, governance, and platform engineering. You will help define standards that improve data discoverability, reliability, security, and usability for both people ...

... models and workflows comply with healthcare data privacy regulations, including HIPAA and similar standards. Build secure AI systems that maintain the confidentiality and integrity of sensitive patient data. Collaborate with engineers, product managers, clinicians, and other stakeholders to translate clinical needs into AI-driven ...

... to security governance; and seamless data flow that earns positive feedback from business https://jobeax.com/link/d7N7ZyiDEOvagMiz Profile :Experience & Capability :- 5+ years of experience in Data Engineering / Data Platform development.- 3+ years of hands-on experience with Azure Databricks.- Strong experience with Azure ...

... implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with cross-functional teams ...

... LangChain, OpenAI models, prompt engineering, RAG pipelines. - More on traditional machine learning with cloud aws exposure - Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing - Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines - Good communication ...

... product, marketing, and growth teams to translate data insights into product features and campaign strategies. Develop and maintain dashboards, metrics, and data pipelines for key business KPIs. Work with engineering teams to productionize models and ensure scalability and performance. 2–6 years of experience in Data Science, ...

... AI/ML models to address real-world business challenges in the financial services industry.- Conduct experiments to evaluate model performance and identify opportunities for optimisation and improvement.- Work closely with data scientists, engineers, cross-functional teams and academic institutions to translate research into ...

... with Data Engineering teams to resolve data-quality issues and conduct root-cause analysis. Continuously improve analytical processes, dashboards, models, and data-driven decision-making practices. 3+ years of experience in Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven ...