We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain scalable data platforms that enable business intelligence, reporting, and advanced analytics. The ideal candidate will have strong expertise in ETL/ELT development, cloud-based data platforms, SQL, PySpark, and Power BI. This role requires close collaboration with cross-functional teams to build reliable, high-quality data solutions that support strategic decision-making. Role &

responsibilities:
Data Engineering & Platform Development:
• Design, develop and maintain scalable data ingestion pipelines from internal and third-party systems (e.g. Salesforce, marketing platforms, finance systems, HR systems and operational applications).
• Build, maintain and optimise Bronze, Silver and Gold data layers within the organisation's analytics platform.
• Develop ETL/ELT processes to cleanse, transform and standardise data from multiple sources.
• Design and maintain Lakehouses and analytical data structures to support analytics and AI use cases.
• Monitor and maintain data pipelines, proactively identifying and resolving data quality, performance and reliability issues.
• Implement data validation, monitoring, auditing and lineage processes to ensure high levels of data integrity and governance.
• Work closely with Product, Engineering, Finance, Marketing and other business functions to onboard new data sources and deliver data solutions. Business Intelligence & Analytics:
• Design, build and maintain semantic models, Power BI semantic models and dashboards that provide accurate and timely insights to stakeholders.
• Develop reusable KPI calculations, business logic and data models to ensure consistency across BI solutions.
• Support the production of board, executive and operational BI where required.
• Partner with stakeholders to understand BI and analytical requirements and translate these into scalable data solutions.
• Identify opportunities to improve BI processes,



automate manual activities and enhance access to business information Required Skills and

Qualifications:
• Degree in Computer Science, Data Engineering, Information Systems, Mathematics or a related discipline preferred but not essential
•

Experience:
5+ years of experience in data engineering or a related field. Essential:
• Experience developing and maintaining data pipelines using ETL/ELT principles.
• Strong SQL skills and experience using PySpark for data transformation and processing.
• Experience working with APIs and integrating data from third-party SaaS platforms.
• Experience building analytical data models and data transformations.
• Experience working with cloud-based analytics platforms such as Microsoft Fabric, Azure Data Factory, Snowflake, Databricks or similar technologies.
• Experience designing and implementing Data Warehouse, Lakehouse and Medallion Architecture solutions.
• Strong understanding of data quality, validation and governance principles.
• Experience using Git or similar source control systems.
• Experience developing Power BI semantic models and dashboards.
• Strong analytical and problem-solving skills with excellent attention to detail. Desirable:
• Experience implementing CI/CD practices for analytics solutions.
• Experience working with large-scale BI or analytics platforms. Personal

Skills:
• Strong technical curiosity and passion for building scalable data solutions.
• Ability to work independently and take ownership of technical delivery.
• Excellent problem-solving and troubleshooting skills.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Ability to manage multiple priorities in a rapid-paced environment.
• Strong attention to detail and commitment to data quality.
• Collaborative approach with the ability to work effectively across business and technical teams.
• Continuous improvement mindset with a desire to identify and implement better ways of working.

📌 Data Engineer (Faridabad)
🏢 iRapido Global
📍 Faridabad