3,565 director data engineering jobs in India.

Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...

Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...

... Data Warehouses, and Real-Time Data Platforms, along with a strong understanding of data modeling, governance, security, metadata management, data quality, and data lineage. - Proven ability to define solution architectures, architecture artifacts, reference designs, and technical roadmaps, while guiding engineering teams ...

Job Description : As a Data Scientist, you will identify business trends and solve complex problems using large-scale data and advanced AI techniques. You will design, develop, and deploy high-impact solutions ranging from classical ML/DL to LLM-powered applications including RAG-based architectures and Agentic AI https://jobeax.com/link/LNO4qyefA3UlJa2l ...

... data integration, workflow orchestration, and data warehouse https://jobeax.com/link/xr65F3iaCgiH6SkB candidate will work closely with business stakeholders, data architects, and engineering teams to migrate existing ETL workloads, optimize data processing frameworks, and establish best practices for cloud-native data https://jobeax.com/link/QJthsbNyq6dgbViB ...

Role : Senior Data Scientist - Digital AssetsJob Description :Skills and Competencies :- Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics- Strong understanding of structured and unstructured data, including on-chain and off-chain data ...

Job Title: Data Analyst Trainer Role Overview Looking for an experienced Data Analyst Trainer with 3–4 years of relevant experience and strong expertise in data analytics, business intelligence, programming, machine learning, and Generative AI. The ideal candidate should have a proven track record of conducting training ...

... up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricingCandidate Profile :- Strong passion for data engineering, artificial intelligence, and problem-solving.- Solid understanding of data engineering concepts, data modeling, and data integration techniques.- ...

... applying machine learning techniques to large datasets to generate actionable insights and integrate AI models into production. Analyze structured and unstructured data to identify patterns, build predictive models, and generate actionable business insights. Perform end-to-end data preprocessing, feature engineering, model development, ...

... Control Unit (TCU) and the time-series data it generates. - Data Landscape Analysis: Evaluate data adequacy and establish a comprehensive understanding of the data landscape. - Data Preparation: Clean and prepare datasets for modeling. Engage in ETL processes and apply data transformation techniques such as resampling, filtering, ...

... Science, Engineering, IT, or a related field. - 2-4 years of professional experience in data analysis, data engineering, or ETL processes. - Must hold an Azure Data Engineer Associate (DP-203) certification. - Experience with root cause analysis and troubleshooting in production environments. - Azure Data Factory Azure Data ...

... techniques to large datasets to generate actionable insights and integrate AI models into https://jobeax.com/link/49uyUi7EOndfzpBw structured and unstructured data to identify patterns, build predictive models, and generate actionable business insights.- Perform end-to-end data preprocessing, feature engineering, model development, ...

... following software engineering best practices - Optimising data performance, reliability, and data quality in live environments 5+ years’ experience in hands‑on data engineering roles - We were looking for stronger hands-on technical depth across areas such as building production-grade data pipelines, data quality and validation, ...

... data ecosystems—where data resides, flows, and how it is accessed. - Troubleshoot and resolve complex technical issues related to collaboration platforms and data access. - Support investigations, audits, and regulatory requests through targeted data retrieval and analysis. - Automate data processes and workflows using ...

... relational databases for data extraction, transformation, and analysis.- Collaborate with data scientists, software engineers, and business stakeholders to deliver data solutions.- Troubleshoot production issues and perform root-cause analysis.- Contribute to data engineering best practices, automation, and continuous improvement ...

... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...

... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...

... strategy, and https://jobeax.com/link/7V36ky2Qrckeo28S Youll Bring : - University degree in Environmental Sciences, Information Technology, Computer Science, Engineering, Management Information Systems, or Theoretical Business.- 4-6 years of relevant experience in an AI data engineering or EHS-related field.- Hands-on experience ...

... data sources.- Collaborate with data scientists, analysts, and other engineering teams to define data requirements and ensure the availability and quality of data for analytics.- Develop and manage automated processes for data integration, cleansing, and transformation.- Work with large-scale datasets and optimize data ...

... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...