4,317 it data analyst jobs in India.

... scalability and long-term maintainability.- Partner with architects and engineering leads to understand system-design trade-offs across cloud infrastructure, data pipelines and integration architecture.- Own technical roadmap alignment, ensuring program plans reflect engineering constraints such as CI/CD maturity, environment ...

... With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

... and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product https://jobeax.com/link/yJKYNJi5IUVsOTNH and Tools :- Work with large-scale datasets, ensuring data quality and scalability of solutions.- Leverage cloud platforms like AWS, GCP for model training and deployment.- Utilize ...

... fledged enterprise cloud and data platform for the world's leading medical aid manufacturing company, to name a https://jobeax.com/link/OyQ9GYR8xO9Y83Yn work with all the major technologies used in the market today and are partners with some of the largest names in the industry i.e. Databricks, Snowflake, Google, AWS, Azure ...

... versioning, freshness, governance, and auditability.- Agent Memory platforms supporting episodic and long-term memory across AI systems.- Permission-aware retrieval with tenant isolation, document-level security, compliance controls, and audit trails.- Data flywheel architecture transforming production data into training and evaluation ...

... LinkedIn and X About Data and Analytics (DNA) Practice At Oliver Wyman Data and Analytics, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. Our India DNA team brings high-quality analytics and quantitative talent into global consulting engagements, ...

... unstructured data. Design standardized data ingestion processes with automated error handling, retries, and alerting. Data Quality, Monitoring, and Governance: Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers. Integrate monitoring and observability tools (e.g., ...

... fledged enterprise cloud and data platform for the world's leading medical aid manufacturing company, to name a https://jobeax.com/link/OyQ9GYR8xO9Y83Yn work with all the major technologies used in the market today and are partners with some of the largest names in the industry i.e. Databricks, Snowflake, Google, AWS, Azure ...

... resolution Monitor vendor performance and quality of deliverables Drive collaboration across Data Platform, Engineering, BI, Governance and vendors teams Ensure all data products align with enterprise data platform strategy (Lakehouse, AWS/GCP) Collaborate with architecture teams to ensure Scalability and performance, Data quality, ...

... across multiple entities (regulated and non-regulated) Regulatory Compliance - Act as the primary liaison with regulators regarding data protection matters, Monitor evolving regional and global data protection regulations and assess business impact. Data Risk Management & Security Compliance - Lead Data Protection Impact ...

... quality, consistency, and reliability Building data processing and transformation workflows Monitoring data pipelines and troubleshooting failures Supporting data warehouse and data lake environments Documenting data pipelines, schemas, and processes Collaborating with analysts and developers on data requirements Implementing ...

... the core of Microsoft's cloud. We are looking for an experienced and creative engineer with a bias for action and ability to deal with ambiguity by driving clarity for the team. You will help build an intelligent inventory system that models and manages a variety of critical engineering assets with rich metadata and relationships, ...

... 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 processes, and data cleansing procedures to maintain high-quality data standards. Data Security: Work closely with security teams to ...

... responsibilities will include working closely with data modelers, data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various ...

... 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 foundational knowledge in data networking architectures and physical network components. - Excellent analytical, ...

... market intelligence, and competitive insights into product roadmaps.- Partner with 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, ...

... data and bring it into our ingestion pipeline - Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform. - Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power ...

... https://jobeax.com/link/ZitjVqvb84V4AOyQ to Have :- SAP Business Data Cloud data products / BTP administration.- SAP Databricks / Databricks (PySpark, Delta Lake, Unity Catalog).- Git-based workflows, CI/CD for data artefacts (abapGit, gCTS).- Microsoft Fabric / Power BI exposure.- SAP certification (Datasphere, HANA Cloud Modeling, ...

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 ...

... grow a team of data engineers; conduct code reviews, provide technical guidance, and support career development.- Collaborate with stakeholders, product owners, data scientists, and analysts to understand data needs and translate them into engineering solutions.- Build and maintain Power BI data models, semantic layers, and ...