4,430 data power jobs in India.

... technically by building an enterprise-wide product that is critical to building, operating and managing all Microsoft services, working with cutting-edge big data and AI technologies, and collaborating with engineering teams across the company. Microsoft's mission is to empower every person and every organization on the ...

... security of organizational data assets. Metadata Management: Design and maintain metadata repositories, ensuring accurate and comprehensive documentation of data assets, including data definitions, lineage, and usage. Data Quality Management: Collaborate with data quality experts to implement data quality rules, validation ...

... designing, deploying, and managing data models on cloud-based infrastructure, preferably for data platforms. Minimum of 10 years of experience in enterprise data architecture, data management and data governance, or a related field. Strong knowledge of database design, data modeling, and ETL processes. Experience in designing ...

... projects. - Experience working within complex organizational settings (e.g., PMO, geographic dispersion, etc.). - Experience with colocation and large-scale data center operations. - Experience with operations third-party colocation environments, including familiarity with supply chain and logistics concepts. - Strong ...

... Product Managers to define product vision, success metrics, and feature priorities. - Track product performance, adoption, user behavior, and key product KPIs. Data Strategy & Insights :- Oversee data initiatives across datasets, data quality, structuring, and delivery. - Develop frameworks for data enrichment, classification, ...

Role Overview :As a Lead Data Scientist, you will spearhead the development and deployment of sophisticated machine learning models that drive strategic decision-making for our enterprise clients. You will act as the primary technical bridge between complex data architectures and business stakeholders, translating ambiguous ...

... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...

... proven leadership experience managing, growing, and guiding specialized data science teams on production-level projects.- Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a highly quantitative field (preferred).Core Technical Toolkit:- Advanced Data Science: Deep expertise in Machine ...

... stakeholders to understand data requirements and design efficient data models.- Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions. - Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.- Optimize data processing ...

... expertise in designing and managing Snowflake data warehouses, including performance tuning and resource monitoring.- Proficiency in building modular and scalable data transformations using Data Build Tool (dbt).- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing ...

... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...

... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...

... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate :- 1. Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- 2. Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...

... experience in building robust ETL/ELT pipelines and modern data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities : - Design, develop, and maintain scalable data pipelines using Apache Airflow.- Develop and optimize data transformation models using dbt (Data Build Tool).- Build and manage data solutions on Snowflake.- ...

... capabilities across software engineering, AI, and data engineering.- Develop robust backend services, APIs, integrations, and platform features.- Build and maintain data pipelines, data processing workflows, and data infrastructure.- Design and develop AI agents, LLM-powered applications, RAG systems, and AI workflows.- Work with ...

... intuitive and impactful solutions for marketing teams. The company is currently building its core team in https://jobeax.com/link/TEtw0SgP3UR1RgAh Overview:As a Data Platform Engineer, you will contribute to building the technology and data foundation for Different AI's products. The role involves working in an early-stage ...

... experience in building robust ETL/ELT pipelines and modern data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities : - Design, develop, and maintain scalable data pipelines using Apache Airflow.- Develop and optimize data transformation models using dbt (Data Build Tool).- Build and manage data solutions on Snowflake.- ...

... Knowledge of pandas, PySpark, or equivalent; - Knowledge of columnar storage and time-series analytics; - Familiarity with Dataplex; - Understanding of Change Data Capture patterns using Datastream; - Understanding of bitemporal data modeling concepts; - Understanding of financial reference data; - Familiarity with BigQuery ...

... Successful in This Role:- Minimum 5 years of experience in software development and system design.- Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration.- Expertise in Snowflake or similar MPP databases.- Strong SQL skills.- Experience with multiple database technologies ...

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