lavori da Analyst in località United States

Job Description

Job Summary :

A Data Engineer will be responsible for designing, building, and maintaining the infrastructure and systems that enable our organisation to collect, store, and analyse large volumes of data efficiently and securely. The candidate will develop data pipelines, integrate data from various sources, and ensure data is clean, reliable, and accessible for analysis.

Working closely with data analyst, and the team in our Efficiency department, the data engineers will focus on the architecture and performance of databases and data flows, helping ensure that data is well-organized and readily available for business intelligence and analytics purposes.

Key Responsibilities :

• Data Architecture & Design : Design, develop, and optimize scalable and efficient data architectures and data pipelines for ingesting, transforming, and loading data from diverse internal and external sources. A0WSA
• ETL / ELT Development : Build and maintain Extract, Transform, Load (ETL) or Extract, Load, transform (ELT) processes to consolidate data from various departmental systems and databases (e.g., spreadsheets, legacy systems, operational databases).
• Data Centralization : Implement solutions to centralize all available data, ensuring it is readily accessible and properly structured for analysis and reporting.
• Data Quality & Integrity : Implement robust data quality checks and validation procedures within the data pipelines to ensure the accuracy, completeness, and consistency of consolidated data. Develop monitoring tools to identify and address data integrity issues proactively.
• Database Management : Manage and optimize data storage solutions (e.g., relational databases, data warehouses, data lakes) to support analytical needs and efficient data retrieval.
• Integration : Work closely with the implementation team to ensure seamless data flow and integration between existing data sources and the new Zoho CRM system. This includes designing and implementing data migration strategies.
• Performance Optimization : Optimize data pipelines and database queries for performance, scalability, and cost-efficiency.
• Documentation : Create and maintain comprehensive documentation for data pipelines, data models, and data infrastructure.
• Collaboration : Collaborate with Data Analysts, business stakeholders, and IT teams to understand data requirements and ensure data solutions meet business needs.

Requirements

Qualifications and Desired Skills :

Requirements