2,153 data warehouse jobs in India.

... systems. Integrate data from diverse sources while ensuring reliability, scalability, and efficiency. Data Modeling Design and implement optimized data models, warehouse schemas, and tables for analytics and reporting. Apply best practices in data architecture to support scalable data consumption. Manage and optimize data platforms ...

... items through SAP system. Maintains inventory by conducting monthly physical counts inputting data issue. Implement cost reduction principle in all aspects of warehouse transactions and activities. Maintains inventory by conducting monthly physical counts, inputting data. Willing to take job rotation and business travel when ...

... standards.- Develop and review Python-based data engineering solutions, frameworks, and reusable components.- Design and optimize ETL/ELT pipelines for large-scale data processing.- Work with structured and unstructured data across data lakes, data warehouses, and modern data platforms.- Define strategies for data ingestion, ...

... data pipeline development.- Strong SQL skills.- Good understanding of Microsoft Azure data services.- Experience working with large datasets and distributed data https://jobeax.com/link/GtFiATZzFkWlSrud Qualifications : - Experience with Azure-based data engineering projects.- Knowledge of data lake/data warehouse concepts.- ...

... data pipeline development.- Strong SQL skills.- Good understanding of Microsoft Azure data services.- Experience working with large datasets and distributed data https://jobeax.com/link/GtFiATZzFkWlSrud Qualifications : - Experience with Azure-based data engineering projects.- Knowledge of data lake/data warehouse concepts.- ...

... modernization https://jobeax.com/link/kkDbvrIMy4LMWx0B Skills & Experience : - 59 years of experience in data engineering, with at least 23 years specifically on BI/data warehouse modernization projects.- Strong SQL skills and hands-on experience with at least one cloud data platform (Snowflake, Databricks, Azure Synapse, Redshift, ...

... modernization https://jobeax.com/link/kkDbvrIMy4LMWx0B Skills & Experience : - 59 years of experience in data engineering, with at least 23 years specifically on BI/data warehouse modernization projects.- Strong SQL skills and hands-on experience with at least one cloud data platform (Snowflake, Databricks, Azure Synapse, Redshift, ...

... units: Integration data from diverse enterprise systems such as ERP, ECOM, Order Management systems, CRM and operational platform into a centralized cloud-based data warehouse. Building robust ETL/ELT pipelines that automate data ingestion, transformation, and delivery using modern tools and frameworks. Enforcing data quality, ...

... Quantiphi! Role: Senior Data Engineer (Snowflake) Experience Level: 4 to 12 Years Work location: Bangalore Role & Responsibilities: In-depth knowledge of Snowflake's data warehousing capabilities. Understanding of Snowflake's virtual warehouse architecture and how to optimize performance and cost. Proficiency in using Snowflake's ...

... for automation, data transformation, and API-based data ingestion.- Work with Airflow DAGs to schedule and orchestrate data workflows efficiently.- Optimize data lake and data warehouse performance for scalability and reliability.- Integrate data pipelines with cloud platforms (AWS, Azure, or GCP) and various data storage ...

... for automation, data transformation, and API-based data ingestion.- Work with Airflow DAGs to schedule and orchestrate data workflows efficiently.- Optimize data lake and data warehouse performance for scalability and reliability.- Integrate data pipelines with cloud platforms (AWS, Azure, or GCP) and various data storage ...

... and directly influence business outcomes while collaborating at speed. Drive the entire design lifecycle for highly complex, multi-touchpoint user journeys. Data-Driven Design : Transform complex data, analytics, and user research insights into intuitive design solutions. Metric Accountability : Define, track, and actively ...

... integration platforms.- Proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery, Azure Synapse).- Hands-on experience with data modeling techniques (3NF, star schema, data vault, dimensional modeling).- Solid understanding of data governance, data lineage, and data quality frameworks.- ...

... We appreciate your https://jobeax.com/link/UiejEVhRXgrYxewO Keywords : Crescendo Global, Jobs in Bengaluru, Data Engineer Jobs, Consultant Data Engineer, AWS Data Engineer, ETL Developer, ELT Pipelines, SQL, Python, Apache Spark, Kafka, Data Warehouse, Data Lake, Cloud Data Engineering, CI/CD, Git, Big Data Jobs. (ref:hirist.tech)

... 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 ...

... and query optimization. Big Data: Apache Spark / PySpark for large-scale distributed data processing. Data Pipelines: Building ETL/ELT pipelines using Azure Data Factory, Fabric Data Flows, and Fabric Notebooks. Cloud + Warehouse: Hands-on experience with Microsoft Azure services and Microsoft Fabric for cloud data warehousing ...

... you unblock touch nearly every workflow in the product. What you'll do - Own the data platform roadmap end to end — ingestion, enrichment, matching, vertical data models, and the sync between our warehouse, CRM, and products - Turn ambiguous data problems into fully-specced, buildable projects - Prioritize ruthlessly across ...

... forecasting, and presenting key metrics to business leaders while collaborating with stakeholders to support strategic decision-making. Key Responsibilities Query large datasets using SQL to extract and manipulate data. Maintain and optimize databases on the data warehouse. Prepare and present weekly business reviews (WBRs), forecasts, ...

... ingest data from IoT/smart-cart telemetry, video events, operational systems, and external partners into our cloud data lake/warehouse. Build and maintain robust data infrastructure, including databases (SQL and NoSQL), data warehouses, and data integration solutions. Data Modeling: Establish canonical data models and definitions ...