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

Preferred candidate profile

Qualifications

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

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.
- Solid 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 fast-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 & Business Intelligence Analyst (Faridabad)
🏢 Model Business Services
📍 Faridabad