3,866 data analyst technology jobs in India.

... monitoring. Drive project-management rigor — dependency management, risk escalation, and stakeholder reporting. Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modelling. Expertise in programming languages such as Python or R for data manipulation, analysis, and ...

... downstream https://jobeax.com/link/lnUo88dTl90Z8FLW with Data Science & Engineering Teams :- Collaborate closely with Data Scientists and Data Analysts to understand data, analytical models, and consumption requirements.- Enable and support advanced analytics and data science workflows by preparing high-quality feature datasets.- ...

... feasibility, scalability, and ROI.- Provide strategic consulting to CXO-level and senior business/technology stakeholders on AI adoption and transformation.- Define technology roadmaps, reference architectures, architecture principles, and standards for Data & AI platforms.- Drive modernization of existing data and analytics ecosystems ...

... consistency. Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency . Collaborate with business users, analysts, and other stakeholders to understand data requirements and deliver tailored solutions. Document technical designs, workflows, and best practices to facilitate ...

Data Science Lead

... establish best practices for ML Ops, LLM Ops, and model lifecycle management - making pragmatic build-versus-buy decisions across platform investments and technology roadmaps. Knowledge Graphs, Ontologies & Enterprise Intelligence - Strong domain expertise in ontology engineering, semantic technologies, metadata management, ...

... feasibility, scalability, and ROI.- Provide strategic consulting to CXO-level and senior business/technology stakeholders on AI adoption and transformation.- Define technology roadmaps, reference architectures, architecture principles, and standards for Data & AI platforms.- Drive modernization of existing data and analytics ecosystems ...

... personal growth along the way. 66degrees is looking for smart, energetic, and personable technology business professionals for a Data Engineer position. As a Cloud Data Engineer you will be a part of data management and engineering projects within GCP environments, including migrating, analyzing, and managing data structures ...

... 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. ...

The ALADDIN ITE-QAE team is a globally distributed engineering organization building scalable technology for financial analytics. We design and evolve data and analytics platforms that enable our quantitative models to be delivered in a robust, consistent, and performant manner. We own the end-to-end stack supporting analytics ...

... and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with data scientists and analysts to understand data needs and deliver appropriate solutions. Design and implement data models that support business intelligence and analytics ...

... PySpark for large-scale data processing - Working experience with Databricks (Delta Lake, Unity Catalog, notebooks) - Exposure to AI/ML data pipelines — vector databases, embeddings, or RAG architecture is a plus - Experience with cloud data platforms (Azure Data Factory, AWS Glue, or equivalent) - Understanding of data modeling, ...

... Collaboration Translate business requirements into technical data engineering solutions Collaborate with product managers, analysts, and other stakeholders on data needs Participate actively in scrum/agile development processes Provide technical expertise to support strategic decision-making Data Architecture & Design Apply ...

... with SQL, Data Modeling, ETL/Data Warehousing concepts. - Knowledge of API-based and batch integrations. - Experience integrating Varicent with CRM, ERP, and Data Platforms. - Strong analytical, problem-solving, and stakeholder management skills. About NTT DATA NTT DATA is a $30 billion business and technology services ...

Designs and develops data models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity ...

Role Summary: We are seeking a highly skilled Data Engineer specializing in AWS and Databricks. The ideal candidate will design, build, and maintain scalable data pipelines, ensuring efficient data ingestion, processing, and integration from multiple sources—including Google Analytics event data. This role requires deep ...

... stored procedures. Ensure data integrity, quality, and availability across systems. Integrate data between systems using Python (e.g., REST APIs, flat files, database connectors). Support deployment, monitoring, and maintenance of applications in production. Collaborate with data engineers, analysts, and application developers ...

... experience with modern data stack tools (dbt, Looker, etc.) • Machine learning infrastructure and MLOps architecture expertise • Contributions to open-source data infrastructure projects • Published technical articles, conference talks, or thought leadership in data platforms • Expert knowledge of data privacy frameworks ...

... requirements, understand data needs, and translate them into technical solutions. Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, ...

... developing and maintaining data pipelines writes clean, efficient, and testable code. Data Engineering: Experience with data pipelines, ingestion processes, SQL, and data modeling. AWS: Hands-on with AWS services such as IAM, S3, Glue, Lambda, RDS, Firehose, EventBridge, and CloudWatch understands distributed data systems. CI/CD: ...