... payment engines, and downstream integrations. Define business acceptance criteria, support test case design, review results, and signoff business functionality and data quality (including enriched ISO 20022 data). Support incident and change management for SWIFT/ISO 20022 scope, including rootcause analysis, remediation requirements, ...
This is a full-time role for a Product Support Analyst with 4 to 6 years of experience. The Product Support Analyst will be responsible for providing support to customers, troubleshooting technical issues, and analyzing data to identify patterns and improve product performance. Additionally, the role will involve collaborating ...
Business Analyst (Finance) Remote | Contract | Flexible, 10–30 hours/week | ~1 month, with potential extension About the Role We are seeking experienced Finance Professionals with strong analytical skills and practical expertise across areas such as corporate finance, investment banking, accounting, FP&A, private equity, ...
... 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 ...
... business-focused data solutions.- Mentor junior engineers and promote data engineering best https://jobeax.com/link/E00qLmZDpXHJjFEm Qualifications : - 5+ years of Azure Data Engineering experience.- Experience with large-scale distributed data processing systems.- Databricks and/or Azure Data Engineering certifications preferred.- ...
... Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... help implement improvements to data workflows, templates, and automation to make delivery faster, more consistent, and more scalable. Hands-on experience in a data-focused role (for example, data specialist, data analyst, data migration, or similar) in a professional environment. Strong skills in Microsoft Excel, including ...
... well-documented code that others can understand and maintain All About You passionate about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... bringing passion and customer focus to the business. Data Engineer (data integration and streaming platforms) Data Engineer with strong experience in event-driven data integration and streaming platforms, ideally with hands-on expertise in Confluent Kafka and CDC technologies. Experience Strong Data Engineering background, including ...
Data Scientist with GenAI (5 - 8 Years) - BangaloreWe are looking for a highly skilled Data Scientist with Generative AI expertise to design, develop, and deploy AI-driven solutions that solve complex business challenges. The role involves working on Machine Learning models, Large Language Models (LLMs), Retrieval-Augmented ...
... Azure . Ensure data quality, governance, reliability, monitoring, and compliance. Partner with Data Scientists, Fraud Analysts, and Engineering teams to deliver data-driven solutions. 4+ years of experience in Data Engineering or Big Data Engineering. - 2+ years of experience building large-scale distributed data processing ...
... Cloud Data Migration Leadership : Lead cloud migration projects, developing scalable Spark pipelines. Implement Bronze, Silver, and gold tables for scalable data systems. Optimize Spark code to ensure efficient cloud migration. Data Modeling : Develop and maintain data models with strong governance practices. Data Cataloging ...
... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...
... Skills Deep knowledge of statistics and mathematics, with experience designing rigorous analyses, testing assumptions and interpreting complex results. Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines. Strong ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...