9,274 it data engineer jobs in India.

... leading global AI and analytics company working across strategic consulting, advanced analytics, data engineering, governance, MLOps and AI-powered solutions, with a strong focus on Generative AI https://jobeax.com/link/yEDVIXaeb96i6mjc : - Develop, implement and deploy ML & GenAI use cases.- Work hands-on with large volumes ...

... scalability Perform end to end data science workflows data collection cleaning feature engineering model training validation and monitoring Primary skills Technology Data Science Machine Learning Technology Machine learning data science Experience building and optimizing NLP systems using modern approaches e AI-Data science- Data ...

... Design and optimize ETL/ELT pipelines for large-scale data processing.- Work with structured and unstructured data across data lakes, data warehouses, and modern data platforms.- Define strategies for data ingestion, transformation, storage, processing, and consumption.- Collaborate with data engineers, software engineers, ...

... to Fabric ecosystem for scalable data engineering and analytics.- Data Modeling & ETL : Star schema, fact/dimension modeling, ETL orchestration, validation.- Data Governance & Reporting Standards : Compliance, lineage tracking, KPI accuracy, reporting https://jobeax.com/link/JQlli5hw40FS19iT Responsibilities :- Collaborate ...

Responsibilities of the Intern: - Perform basic exploratory data analysis (EDA) to identify patterns and insights - Create simple visualizations, charts, and dashboards to present findings - Support the team in preparing data-driven reports and presentations - Work with team members to understand project goals and contribute ...

... Senior AI Solutions Engineer / Technical Lead with strong cloud, application development, data, analytics, and Generative AI expertise to join our Analytics & Data Science https://jobeax.com/link/0c14UeRcOwA5jiTP role serves as the senior developer for Analytics, AI, and GenAI solution delivery initiatives. The individual ...

... Vertex AI for training, tuning, and scaling models. Data & Experimentation - - Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. - Design and run experiments (A/B testing, uplift modeling, etc.) Work with large-scale datasets, ensuring data quality ...

... PyTorch, Scikit-learn, Pandas, NumPy, Data Visualization (Power BI / Tableau / Matplotlib / Seaborn), Statistics, Big Data (Spark, Hadoop), Data Cleaning, Feature Engineering, Model Deployment (Flask / FastAPI / Streamlit), Cloud (AWS, Azure, GCP). Roles and Responsibilities: Collect, clean, and preprocess large datasets from ...

... Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions. Troubleshoot and resolve issues related to data pipelines and applications. Contribute to documentation of data pipelines and system architecture. Stay up-to-date with the latest Big Data technologies and trends. ...

... improve product quality, inform strategic decisions, and enable proactive detection of customer experience issues across the smart home ecosystem. You will work with large-scale behavioral and interaction datasets, design experimentation frameworks, and partner with engineering, product, and science teams to deliver data-driven ...

... Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. - Great foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. - Expertise in Python, with sophisticated data analysis and data engineering ...

... Semi-Structured Data, JSON / Nested Data, NoSQL concepts, Snowflake and/or Databricks, Practical Python, Data Quality, Reconciliation, and Validation, Analytical Data Warehousing https://jobeax.com/link/By53NvnMxWuAhayP & Education :- 6+ years of relevant experience in analytics engineering, data engineering, business intelligence, ...

... with colleagues to understand data requirements and goals. - Stay updated with the latest data science trends and tools. - Document processes followed during data collection and analysis. - Support data integrity and validation initiatives. Skills: - Data Collection: Ability to gather data from multiple sources effectively. ...

... and CI/CD for data solutions.- Excellent communication and stakeholder management https://jobeax.com/link/Cexs453KRiH2S1rJ : - Microsoft certifications (Azure Data Engineer, Solutions Architect).- Experience with Medallion architecture and streaming pipelines (Kafka, Event Hub, CDC).- Background in telecom, finance, or large-scale ...

... accountability for review of suppliers and acquisitions.- Compliance to Policies and Standards : Responsibility for supporting ongoing information security compliance initiatives, including policies and standards related to information security, technology, data governance and privacy.- Technology Approvals : Accountability for the ...

... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science

... and identify small visual differences. Strong ability to follow instructions and predefined guidelines precisely. Ability to quickly adapt and learn to work with AI data tagging tools and platforms. Work Shift – Night Shift 7:00 PM to 4:00 AM. Additional Requirements This opportunity offers the flexibility of remote work, ...

... systematic procedures to validate model performance and accuracy. Perform feature engineering through extracting meaningful features from measured and/or derived data Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling. Analyze large datasets to identify trends, patterns, ...

... models to solve complex data problems. - Analyze large datasets to identify trends, patterns, and insights. - Write efficient and maintainable code in Python for data manipulation and model building. - Utilize SQL for data extraction, transformation, and database management. - Apply statistical methods to interpret data and ...

... with cross-functional teams, including Product, Engineering, Marketing, and Security, to build a data-driven approach that influences key business decisions. Data Analysis & Insights - Analyze complex datasets from Product, Engineering, and Marketing to uncover trends, correlations, and opportunities for growth. - Build ...