9,504 data warehouse engineer jobs in India.

... 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 ...

... analytics experts to strive for greater functionality in our data systems. Mandatory Skills Description: - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field - 8+ years of experience in data engineering (or equivalent hands on experience with large scale data platforms) - Strong ...

... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...

... object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity ...

... ownership, OR - 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, ...

... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...

... and analysis, as directed. Run and modify SQL queries to generate list reports from data sources. Generate data, identify problems within datasets, and resolve data discrepancies. Create dashboards and interactive custom visualizations using business intelligence tools. Assist in the development of processes and data pipelines ...

... development. As a Clinical Data Science Programmer at ICON, you will develop and implement programming solutions that enhance the analysis of clinical trial data. What You Will Do: You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities ...

As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

... evaluate their applicability to ongoing projects, fostering a culture of in ation and continuous improvement. Solution Architecture & Design Work closely with engineering, data science, and XOps delivery teams to create architecture blueprints aligned with enterprise and CoE standards. Guide POCs and MVPs to vali ideas quickly ...

... and decision-making. Typical Education and Work Experience required: Bachelor degree is mandatory Technically oriented BSc degrees, such as Computer Science, Engineering, Data Science, Mathematics, Statistics, Physics, or related quantitative disciplines Flexible working environment LinkedIn Learning Employee-Assistance-Program ...

... part of our expert team, you'll have the opportunity to ensure operational excellence that makes a real difference in organizational performance. As a Clinical Data Team Lead, you will act as the lead data manager for one or more projects or provide support to the lead data manager. You may lead all data management activities ...

... analysis including but not limited to data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings ...

... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...

... candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, and business insights Perform data exploration, feature engineering, and statistical ...

... to translate business problems into data-driven solutions. - Perform feature engineering, model evaluation, validation and optimization. - Handle end-to-end data science projects from problem definition to production deployment. - Contribute to improving existing ML models, data pipelines and analytical processes. Required ...

... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...

... in Data Science, Computer Science, Statistics, Business Analytics, or related field, or equivalent experience Business Acumen, Collaboration, Communication, Data Analysis, Data-Driven Business Intelligence, Data Visualization, Market/Industry Dynamics, Relationship Management, Statistics, Story Telling _____________________________________________________________________________________________________ ...

... product stack, customer excellence and trust of an established bank. To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration ...