4,191 data power jobs in India.

... CRM, and products - Turn ambiguous data problems into fully-specced, buildable projects - Prioritize ruthlessly across a large backlog: which verticals, which data sources, which quality fixes come first, and why - Own the data quality feedback loop — define how we catch bad data before customers see it, and drive the process ...

... & Remote Operations YOUR TASKS: Build and maintain data pipelines to transform, process and ingest wind measurement and master data from multiple sources and data formats to drive analytical insights. Develop and optimize data models and schemas for storage and retrieval of structured andunstructured data Perform analysis ...

... Purpose/ Summary We are looking for a skilled Data Engineer with 1-2 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets ...

... Preparation Product Area, focused on building the next generation of finance data and processing services The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering. ...

... - Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). - Knowledge of data warehousing concepts and familiarity with relational databases. ...

Requirements Strong programming skills in Python and SQL. Experience with data processing leveraging programming skills in Python and Spark. In-depth understanding of the Kafka platform for (real-time) data ingestion and processing of high-volume data. Design and architect data flows and data management in a Cloud environment ...

... Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive ...

... governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. - Strong project management and organizational skills. ...

... 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, ...

... vector-based data pipelines for AI and GenAI use cases Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks) Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets Build data preprocessing, validation, and quality-assurance ...

... 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 ...

... that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! About the Role: PhonePe's Data Platform powers India's largest consumer payments app at national scale—managing petabyte-scale infrastructure, batch/real-time pipelines, and developer tooling ...

... required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS 'big data' technologies. Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure ...

... 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 ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

... 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 ...

... and build scalable data processing systems. The ideal candidate should have hands-on experience working with large datasets, distributed computing, and modern data architectures. Key Responsibilities Design, develop, and maintain big data pipelines using Hadoop and Spark Build scalable data processing frameworks using Scala ...

... 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 ...

... the management of end-to-end data infrastructure—from design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. ...

... streaming datasets which powers personalized experiences for every customer from recommendations to in-location engagement. Design, construct, and maintain robust data systems and architectures Develop and optimize data capture, storage, processing, serving, and querying platforms Create data products for personalization, recommendation, ...