5,385 data process executive jobs in India.

... larger Marsh data eco-system Build consolidated views using disparate data sources and placement data that includes Coverages, Exposures, Losses and trading data that can provide insights Solve business pain points using 'Business Consultant' skills using data and technology – lies with the business and data leaders Leverage ...

... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...

... using Python. Strong proficiency in Python and object-orientated programming. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL. Experience with version control systems such as Git. Familiarity with Docker for containerisation. Experience with microservices ...

Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...

... influence the next generation of AI-native business applications and deliver real-world impact at scale. The ideal candidate has priorexpertisein natural language processing (NLP), witha strong foundationin large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced ...

... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...

... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...

Qualification : BE/B.Tech/M.Tech - Computer/IT Experience : 3 to 5 Years Roles & Responsibilities: - Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation - Experience working with and creating cloud data solutions - Assemble large, complex data sets that meet functional/non-functional ...

... time, minimize user errors, and enhance reliability and accuracy with diverse source data types. NET core architecture, XL++ works on all Excel versions and processes large datasets efficiently. It features customized add-ons for data import, transformation, and visualization, as well as automation of business processes ...

... large-scale data processing. Manage feature stores for machine learning pipelines. Work closely with Data Scientists and ML Engineers to ensure high-quality training data. Implement data quality checks, observability, and governance frameworks. Bachelor's or Master's in Computer Science, Data Engineering, or related field. Experience: ...

... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...

... integration of data from various internal and external sources into the central data repository. - Partner with data owners and delegates to define and implement data quality (DQ) rules; collaborate with IT to enhance DQ controls. - Conduct comprehensive analysis of business processes, data flows, and usage to identify opportunities ...

... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...

... test, deploy and iterate on data science solutions - Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them) Ability to process complex data sets Ability to perform ...

As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...

... managing contact databases for campaigns and outreach activities Assist with data segmentation and list preparation for marketing initiatives Regularly audit CRM data to identify discrepancies and improve data quality Generate reports and maintain documentation related to data management processes Follow internal guidelines ...

Key Responsibilities: Edit and format candidate CVs Source potential candidates based on the given requirements Maintain and update data in Excel Review information carefully to make sure it is correct and complete Help the team with daily tasks as needed Requirements: Basic knowledge of Microsoft Excel Strong attention ...

... metadata platforms - Experience supporting data lake, warehouse, or enterprise data platform initiatives Enterprise data modeling - Financial domain knowledge - Data quality and governance alignment - Business-to-data translation - Financial data structures - Fund / LP / GP data models - SQL / NoSQL schema design Bachelor’s ...

... (and/or event-driven) integrations to serve models, agents, features, and data products. Build scalable data pipelines with Apache Spark (PySpark/Scala) for batch processing and feature generation. Use SQL extensively for exploration, transformations, validation checks, and query performance tuning on large datasets. Operationalize ...

... analytics - As a motivated self-starter, you have the experience working in a dynamic environment - Exceptional data engineering skills in large, high-scale Data platforms and applications using cloud and big data technologies like Hadoop ecosystem and Spark . Your experience includes: - Big data processing frameworks ...