Data Engineer

Role Overview

• Design, develop, and maintain scalable data integrations between internal and external systems.
• Build and optimise ETL/ELT pipelines to support operational and analytical workloads.
• Implement batch, event-driven, and near real-time data ingestion approaches where required to support evolving business needs.
• Proactively monitor pipelines and data workflows, resolving issues relating to data integrity, performance, reliability, and scalability to ensure data quality, consistency, and reliability across all integration points.
• Work with manufacturers, suppliers, customers, and internal teams to integrate, process, and validate pricing data, identifying opportunities to automate repetitive price list updates.
• Design and implement API-based integrations and reusable ingestion frameworks, including handling authentication, rate limits, pagination, schema evolution, and error handling.
• Implement best practices for API performance, versioning, and documentation.
• Develop and maintain data models and optimised datasets for business intelligence tools such as Power BI and Bold BI, supporting operational and strategic reporting requirements.
• Work cross-functionally with Product Managers, development teams, account managers, professional services, and other stakeholders while contributing to improvements in data architecture, automation practices, and data governance standards, and supporting ad-hoc tasks as required.
• Implement data validation, monitoring, and error handling processes.
• Champion best practices for data security, privacy, and compliance.

Requirements

• Strong experience with ETL/ELT tools and data pipeline development.
• Hands-on experience with data integration platforms or messaging technologies.
• Knowledge of Apache Nifi workflows and maintaining them.
• Knowledge of databases including the use of SQL to query and manage data.
• Proven working experience as a data analyst or business data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience designing and supporting APIs (REST, GraphQL, or similar).
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Power BI, Bold BI etc.).
• Advance Microsoft Office skills.
• Strong problem solving skills and the ability to work with complex datasets.
• BSc or equivalent qualification in either Mathematics, Economics, or Statistics, or a related discipline, or equivalent experience.

Tech Stack

• Apache
• ETL
• GraphQL
• SQL

Benefits

• Market-leading Salary
• Medical Coverage – Self & Dependents
• Parents Medical Coverage
• Provident Fund
• Employee Performance-based bonuses
• Home Internet Subsidy
• Conveyance Allowance
• Profit Sharing Plan [Tenured Employees Only]
• Life Benefit
• Child Care Facility
• Company Provided Lunch/Dinner
• Professional Development Budget
• Recreational area for in-house games
• Sporadic On-shore training opportunities
• Friendly work environment
• Leave Encashment