3,082 data science analytics jobs in India.

... Teradata, Python and Julia.- The candidate must have experience in Python and Julia for data processing, analysis and automation.- 2-4 years of experience in Teradata, Python, and Julia.- Strong experience in data engineering and data analytics.- Good knowledge of Provider domain.- Experience working with Teradata databases.- ...

... multiple data sources, and building semantic data layers for analytics and https://jobeax.com/link/eQK4uag79A3cPnLy Responsibilities :- Design and develop scalable data virtualization solutions using Denodo.- Create and maintain Base Views, Derived Views, Joins, Unions, Interfaces, and Data Services.- Integrate data from multiple ...

... Contribute to coding standards, CI/CD processes, observability, and documentation; Partner with Analytics, BI, and ML teams to productize datasets and ensure strong data contracts. Support production operations, including on-call rotations for critical pipelines as needed. Hands-on expertise in GCP data stack: BigQuery, Dataflow ...

... Drive end-to-end insights creation-to-consumption lifecycle, leading business problem definition, designing and delivering the solutions. Oversee the mapping of data sources, data movement with the goal of ensuring data quality. Active participation in the trouble shooting issues including root cause analysis. Designing documents ...

... to the growth of the charter. Stakeholder Interaction - Interact with the Product & Key Stakeholders & help them by adding value to the business workflow with data & analytics. Good to have - Real-time CDC: Ownership of high-throughput ingestion from RDBMS to Lakehouse using Debezium, PeerDB. Lakehouse Architecture: Designing ...

... leadership-level technical roles. Lead and execute advanced industry talent mapping projects across specific domains (e.g., Aerospace, Satellite Technology, Imaging Science, Data Science) to identify top-tier professionals globally. Full-Cycle Recruitment: Manage the end-to-end recruitment process for a diverse range of roles- ...

Role: Data Engineer - Power BI Modelling Level: 7-15 years Build and maintain Power BI semantic models (DAX, star schemas) for enterprise reporting. Develop PySpark/Python and SQL pipelines feeding the Snowflake environment. Translate reporting requirements into performant data models. Ensure data quality. Validate accuracy ...

... managers and cross-team leads (DevOps, Data Science, Analytics) Internal data consumers like Analysts, Business Intelligence, and ML teams 6+ years of experience in Data Engineering, with 2+ years in a technical or team Strong expertise in data architecture, data modeling, distributed computing, and modern data platforms ~ Proficiency ...

... Self-motivated, enthusiasm to build next generation AI https://jobeax.com/link/6l022AziJZbiShMe & Responsibilities : - Analyze product requirements and come up with data science solutions.- Identify and develop data engineering scripts (example : parsers) necessary to build training datasets.- Build deep learning NLP model(s), ...

... entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering ...

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments.

... written and verbal communication skills in English. Experience with cloud technologies and distributed systems. Experience with data transformation frameworks and data pipeline orchestration tools. Experience managing large volumes of data and optimizing data processing. Understanding of event-based architecture, data streaming, ...

... preparing financial reports and presentations, and contributing to sector and company research. The role involves supporting financial planning activities, ensuring data accuracy, and collaborating with senior analysts and cross-functional teams to deliver timely and insight-driven analytics. The Financial Analyst will also assist ...

... 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 ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

Role: We're looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You'll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, ...

Support Clarion performance analytics team with AuM and performance reporting for a high growth open-end and closed end real estate product line. - Liaison between fund administrators and US based parent company to facilitate efficient data transfer to CP US systems. - Support Investor and consultant data needs by updating ...

... ad hoc analysis and business requests when required. Required Experience and Skills - 3-4 years of experience in Power BI reporting, business intelligence, or data analytics. - Must have previous experience working in a trading, brokerage, fintech, financial markets, investment, or similar financial services company. - Strong ...

... By combining first-party, third-party, and external data, Hansa Cequity builds customized, value-driven solutions powered by advanced marketing automation, analytics, data management, and campaign tools. Multi-disciplinary teams of data consultants, analysts, customer marketers, campaign specialists, and digital experts ...

... create reporting infrastructure/dashboards for business process management and data mining - You will be closely working with the business/product teams to enable data driven decision making. - You will execute quantitative analysis that translates data into actionable insights - You will drive data driven decision making through ...