366 Remote data warehouse jobs in India.

... support Data Warehouse (DWH) solutions and data integration processes. Develop and maintain dashboards and reports to support business insights. Work with Oracle databases and Oracle NetSuite data for reporting and integrations. Perform data modelling, database design, and schema optimization. Ensure data quality, integrity, ...

... customer experiences. Designing the data model for data collection in the data warehouse Data Collection and data storage from existing and new data sources to the Data Warehouse and Data Lakes Building ELT/ETL solutions to enable batch processing and real-time data processing Maintaining data pipelines and monitoring data pipeline ...

... for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse and analytics solutions using Azure Synapse, Azure Data Lake Storage ...

... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...

... snowflake schemas), normalized databases, and data warehouse structures. Collaborate with business stakeholders, data architects, and development teams to define data entities, relationships, business rules, and data standards. Develop and maintain data dictionaries, metadata repositories, lineage documentation, and data mapping ...

... 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. ...

... servers, OPENQUERY, and PolyBase Hunt down data quality gaps - stale feeds, broken joins, silently-changing source systems - and drive them to resolution with the data owner Extend the platform as the business grows: model new source domains into the warehouse and build data models analysts can use without needing a translator ...

... management or content metadata platforms • Experience supporting data lake, warehouse, or enterprise data platform initiatives Key Competencies: • Enterprise data modeling • Financial domain knowledge • Metadata and schema design • Cross-system entity mapping • Data quality and governance alignment • Business-to-data translation ...

... (staging, intermediate, mart layers / medallion architecture) aligned with dbt and Matillion best practices.- Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.- Optimize Snowflake for performance and cost : warehouse sizing, ...

... (staging, intermediate, mart layers / medallion architecture) aligned with dbt and Matillion best practices.- Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.- Optimize Snowflake for performance and cost : warehouse sizing, ...

... 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 ...

... cloud-native data services: Data lakes, data warehouses, and analytics services Identity and access management for data systems Data & Analytics Understanding of data governance and security principles Experience with data quality frameworks and monitoring Knowledge of dimensional modeling and data warehouse design Familiarity ...

... SaaS CRM such as Salesforce into a self-hosted model, including reconciliation of migrated records. Redis, RabbitMQ or Kafka operations alongside a relational estate. PostgreSQL or SQL Server, and analytics or data-warehouse replica experience. Experience working within PCI DSS, GDPR or financial-regulator audit cycles.

... accuracy and compliance. Adept at collaborating with cross-functional teams and delivering solutions that align with business objectiv Data Analysis/Business Data Analyst/Technical Business Analyst Data Enginee ring (Data Governance(Collibra), Data Profiling, Data Modelling, Data Visualization) Data Warehouse Expertise ...

... Working with relational and NoSQL databases Ensuring data 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 ...

... deploy key infrastructure within the Azure Cloud supporting a wide variety of technology solutions. Working specifically with services in Azure such as Azure Data Lake, Azure Databricks, Azure SQL Data Warehouse, Azure Data Factory, Azure Service Bus, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, ...

... 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 ...

... Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred; Knowledge of Python is preferred; Basic knowledge of SQL Server databases is required; ...

... metadata platforms - Experience supporting data lake, warehouse, or enterprise data platform initiatives Enterprise data modeling - Financial domain knowledge - Data quality and governance alignment - Business-to-data translation - Financial data structures - Fund / LP / GP data models - SQL / NoSQL schema design Bachelor’s ...

... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...