... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... facilitate the optimization of business unit performance by enhancing the alignment between business process and information technology. The IT Business Relationship Analyst II is responsible for solution identification and design, translating business needs and objectives into solutions and technology roadmaps and solution delivery ...
... quality tools to ensure the accuracy, consistency, and reliability of data. Work on large data projects and able to manage client requirements, solution and data quality. Requirements: - 10+ years proficiency in SQL for data querying, manipulation, and analysis. - Expert in using MS Excel for complex data analysis and ...
... Advanced modelling, strategic planning, and data architecture understanding. Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy. Expert understanding of advanced MS Excel, database management systems, EDA, ETL tools, data models, ...
... requirements easily and translate them into functional requirements. Capability to understand and analyze complex IT applications and financial product structures. Excellent documentation ability. Have experience in preparing requirement specifications and performing UAT. Nice to have Basic technical understanding of Database, ...
... solutions in Client Data Product Management . As a Data Product Manager within our dynamic team , you will be responsible for scaling the CDM(client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution. Drive product development for the CDM data product ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... Advanced modelling, strategic planning, and data architecture understanding. Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy. Expert understanding of advanced MS Excel, database management systems, EDA, ETL tools, data models, ...
Job Description Job Role: Business Analyst Total yrs of Experience: 7yrs to 10yrs Location: Worli Job type: Hybrid - 12days from office Key Accountabilities: Primarily focussed on Systems Analysis and preparation of functional specifications / User Stories, the Business Analyst will also be responsible for contributing ...
... We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work with a team of expert Data Analysts/Scientists/Engineers and a team of expert and dedicated developers. The key focus of this role is ...
... Advanced modelling, strategic planning, and data architecture understanding. Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy. Expert understanding of advanced MS Excel, database management systems, EDA, ETL tools, data models, ...
... quality tools to ensure the accuracy, consistency, and reliability of data. Work on large data projects and able to manage client requirements, solution and data quality. Requirements: - 10+ years proficiency in SQL for data querying, manipulation, and analysis. - Expert in using MS Excel for complex data analysis and ...
... continuously improve analysis processes. Implement data quality processes and use data quality tools to ensure the accuracy, consistency, and reliability of data. Requirements: - 5+ years proficiency in SQL for data querying, manipulation, and analysis. - Expert in using MS Excel for complex data analysis and providing ...
... We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization ...
... organization, with direct involvement in achieving/maintaining the Data & AI (Azure) Solutions Partner designation, and hands-on contribution to passing the Microsoft Data & AI specialization audit.- Strong expertise in Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, and/or Azure Databricks.- Experience with ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
... Provide expert feedback based on your professional financial or investment analysis experience. Requirements - 4+ years of professional experience as a Financial Analyst, Investment Analyst, Equity Research Analyst, Portfolio Manager, Securities Analyst, or in a closely related financial or investment analysis role. - Experience ...
Remediation Analysts: Required / Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, ...
... tracing. Strong written and verbal communication skills, with the ability to collaborate effectively across time zones with onshore data architects, business analysts, and platform engineering teams. Demonstrated willingness to learn new technologies and expand responsibilities beyond traditional data engineering (e.g., ...