2,161 data warehouse jobs in India.

... backend services, APIs, and microservices. - Strong fundamentals in data structures, algorithms, and software design principles. - Experience working with SQL and database technologies. - AI / GenAI - Preferred Qualifications - Experience building production-ready GenAI applications. - Experience with vector databases such as ...

... complex SQL queries in BigQuery for data transformation, extraction, and analysis. - Assist in the design and implementation of data models within our data warehouse. - Collaborate with the broader project team to understand data requirements and deliver effective solutions. - Troubleshoot and resolve issues in data pipelines ...

... skills in Python, Bash, or https://jobeax.com/link/vdZtURYtMEMYj7jq : - Experience in fintech or regulated financial services environments.- Familiarity with data warehouse integrations and analytics platforms.- Contributions to database performance optimization or open-source DBA tools.- Strong communication and documentation ...

... analytics with these corporate platforms - Attention to detail and ability to deliver accurate client outputs - Experience of working with large and multiple datasets / data warehouses - Ability to derive insights from data and analysis and create presentations for client teams - Experience with performance optimization ...

Role Overview :The CTO owns ERP architecture, the POS network, RFID based inventory management, digital commerce, data analytics, CRM technology, cybersecurity and compliance with the Digital Personal Data Protection Act. The role calls for someone who selects the right stack for a jewellery business rather than importing ...

... industry best practice. Deliver data engineering solutions aligned to core concepts of data design, preparation, transformation, and load. Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud lake houses to enable data predictions and models, and reporting ...

... resolve risk, conduct and compliance matters. Skills And Experience Data Engineering SQL Unix Scripting Devops Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field. 10+ years of experience in data engineering Strong proficiency in Python, Python-spark, shell scripting and SQL, with ...

... computation so models can be retrained quickly and reliably. Collaborate with data engineers to implement scalable pipelines on Azure (Data Factory, Data Lake, Databricks) and deploy models via CI/CD processes (e.g. using Azure DevOps or similar tools). Ensure solutions adhere to secure coding practices and data governance ...

... transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies u2022 Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance u2022 Strong knowledge in the Big data tools such as AWS Redshift, Hadoop, map reduce etc. ...

... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...

... experience in Data engineering. Pyspark with GCP and AWS,Snowflake and Data bricks are required skills. Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. ...

Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...

... performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses and streaming platforms ...

... and processing - Experience with big data and real-time processing technologies, including Apache Spark, Hadoop, Kafka, and Amazon Kinesis - Experience with data modelling and database design across Structured Query Language and NoSQL platforms - Understanding of data governance, data quality, and security best practices ...

... huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecture of advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to ...

... seasoned Senior Data Scientist with e-commerce expertise to join our dynamic team. Must-Have Skills: Machine Learning Algorithms, Python or R Programming, Big Data Technologies (Hadoop, Spark, or equivalent), Data Visualization Tools (Tableau, Power BI, or similar), SQL and Data Modeling Expertise. Data Analysis & Insights ...

... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...

... scalable data processing solutions using Big Data technologies and distributed system s Strong hands-on experience with Python and PySpar k for developing efficient data pipelines and applications Develop and optimize complex SQL querie s, data models, and database solutions Analyze and improve performance of Apache Spark workload ...

... understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . - Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . - Experience with both relational and document-oriented databases; practical ...

... tools. Data Modeling & Architecture: Skilled in dimensional and semantic modeling, database design, and building performant, governed analytics-ready structures. Data Quality, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with lineage, cataloging, and data quality frameworks. Experience ...