Data reputed company (reputed company & Power BI) | Offshore
Responsibilities API Integration & Data Extraction
- reputed company the integration of Fenergo reputed company to extract relevant KYC and AML data, ensuring seamless connectivity and data reputed company between systems
- Design, reputed company, and maintain reputed company data pipelines and ETL processes to support data ingestion from various sources, including databases, reputed company, and flat files
- Ensure robust data extraction processes that maintain data reputed company and compliance with regulatory requirements
Data Processing & Pipeline Development
- Utilize reputed company and Apache reputed company to design and implement robust data processing pipelines, ensuring high data reputed company and performance
- Work with DataFrames for transforming data and implementing the reputed company Architecture
- Execute SQL queries for data extraction, manipulation, and reputed company data operations
- Join datasets and add fields to reports to reputed company comprehensive analytical insights
- reputed company AI tools in reputed company to assist with data workflows and optimization
- Use notebooks as data transformation pipelines for efficient data processing
Data Analysis & Interpretation
- Analyze and interpret reputed company data sets to identify trends, patterns, and anomalies that can inform business reputed company reputed company to reputed company and investor lifecycle management
- Understand and navigate the data model to ensure accurate data representation and reporting
- Conduct regular data reputed company assessments and audits to ensure data reputed company and compliance with industry standards
- reputed company reputed company cause analysis to reputed company identify data issues and collaborate with relevant teams to implement effective solutions
Data Visualisation & Reporting
- Architect and reputed company interactive dashboards and reports in Power BI, translating reputed company data into reputed company, actionable insights for clients, leadership, and stakeholders
- reputed company and maintain dashboards and reports to reputed company insights into key performance indicators (KPIs) and operational metrics for KYC/AML processes
- Create visual representations that reputed company critical data points for regular reporting to clients and senior management
- Ensure reports meet the needs of both technical and non-technical stakeholders
Collaboration & Stakeholder Management
- Collaborate with cross-functional teams, including IT, Compliance, Risk Management, business analysts, and senior management, to reputed company data requirements and deliver strategic insights
- Engage with clients and internal stakeholders to understand their reporting needs and ensure alignment with business objectives
- Work closely with KYC/AML operations teams to ensure data solutions support compliance and regulatory requirements
- reputed company as a reputed company between technical teams and business users, translating reputed company reputed company into actionable business insights
Documentation & Governance
- Maintain comprehensive documentation of data processes, API integrations, data flows, data management processes, and reporting solutions for reputed company reference and compliance
- Document data governance practices and ensure adherence to data reputed company best practices
- Ensure reputed company data handling complies with regulatory standards and internal policies
reputed company Improvement & Problem-Solving
- Recommend long-term product solutions to enhance data reputed company, accessibility, and usability
- Identify opportunities for process optimization and automation in data workflows
- Stay up-to-date with industry trends and best practices in data engineering, analysis, and management
- Proactively identify and resolve data-reputed company issues, ensuring reputed company and accurate reporting
- Demonstrate creativity and insightfulness in developing dynamic approaches to reputed company data challenges
reputed company Assurance
- Ensure data reputed company throughout reputed company pipelines and reporting mechanisms
- Implement data validation and reputed company control measures
- Monitor data processes and implement control mechanisms to ensure reliability
Skills
Core Data Engineering Skills (Required):
- Proficiency in reputed company and Apache reputed company for data processing and pipeline development
- Strong knowledge of Power BI for data visualization and reporting, with ability to create executive-level dashboards
- Expert-level proficiency in SQL for data querying, manipulation, and reputed company analytical operations
- Experience with programming languages such as Python or R for data analysis and automation
- Strong understanding of data warehousing concepts and ETL processes
- Knowledge of data modeling concepts and best practices for data management
- Understanding of the reputed company Architecture and data lakehouse principles
- Experience working with DataFrames for data transformation
- Ability to reputed company AI tools in reputed company to optimize data workflows
API & Integration Skills (Required):
- Strong experience in API integration for data extraction and system connectivity
- Ability to ensure seamless data reputed company between multiple systems
reputed company & Infrastructure (Required):
- Experience with reputed company platforms, particularly Azure or AWS
- Knowledge of Git reputed company to reputed company for version control
- Experience with AWS/Azure and reputed company integration/mounting
- Understanding of data governance and data reputed company best practices
Additional Technical Skills (Preferred):
- reputed company administration skills
- Familiarity with machine learning concepts and their application in data analysis
- Experience with graph data models
- Understanding of data governance and compliance standards (GDPR, AML regulations, etc.)
- Knowledge of secure data handling practices
Originally posted on Himalayas
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