9,308 big data engineer jobs in India.

... 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. ...

... legacy platform migration (Qlik, Gather, or similar).- Knowledge of governance tools (Purview, metadata management).- Proficiency in orchestration and CI/CD for data solutions.- Excellent communication and stakeholder management https://jobeax.com/link/Cexs453KRiH2S1rJ : - Microsoft certifications (Azure Data Engineer, Solutions ...

... 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 review and approval of technology in relation to information security risks, including ...

... 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

... missed, incorrect, or duplicate objects. Verify images are uploaded to the correct assigned tools. Perform quality checks and correct tagging errors. Maintain dataset accuracy and follow defined SOPs. Support dataset preparation, Train/Valid splitting, and dataset version creation. Escalate unclear images, project mismatches, ...

... 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 ...

... performance, and improve marketing effectiveness. They will collaborate 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 ...

... patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity. Conduct data analysis ...

Job Role: Senior Data Scientist Experience Required : 6–9 years Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research ...

... In this regards, the LIQ PBR data analyst will work with Liquidity SMEs to document BDEs that require to be traced from upstream sources, liaise with upstream data source RTB teams to develop a data flow architecture for the movement of data, further request sample transactional and other data to test the data per test cases ...

... models.- Experience deploying AI systems on AWS, GCP, or Azure in microservices architectures.- Thrives in fast-moving startup environments with high ownership and ambiguity.- Strong Python skills with focus in data engineering and data analysis, including proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy ...

... supervision. As a Data Entry Specialist, you will be responsible for accurately entering data into our systems, maintaining and updating records, and ensuring data quality and integrity. Enter data into our systems accurately and efficiently, following established procedures and guidelines - Verify and review data for accuracy ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

... dashboards. The ideal candidate combines strong Tableau development expertise with data engineering exposure, including experience working with streaming/real-time data, semantic layers, and cloud-based data platforms (GCP/BigQuery).Key Responsibilities :Data Modeling & Architecture :- Design and build dimensional data models ...

... for a high growth open-end and closed end real estate product line. - Liaison between fund administrators and US based parent company to facilitate efficient data transfer to CP US systems. - Support Investor and consultant data needs by updating databases containing performance and operations data for our product line. ...

... Compliance, and Management teams with reporting and data analysis requirements. - Validate data quality and investigate issues related to mismatched numbers, missing data, or incorrect calculations. - Work with data engineering or database teams to understand data sources and improve reporting reliability. - Optimize Power BI reports ...

... techniques including Jaro-Winkler, Levenshtein, TF-IDF, n-grams, token-based similarity, phonetic matching, embeddings, and transformer-based approaches. Perform data preparation, feature engineering, statistical analysis, model training, validation, and performance optimization. Develop hybrid solutions combining deterministic ...

... including hands-on experience with prompt engineering, RAG, embeddings, and agentic workflows - Practical experience building LLM/GenAI applications — prompt engineering, RAG, fine-tuning, embeddings, vector databases, and evaluation - Solid grounding in the full ML lifecycle: data validation, feature engineering, model design, ...