Senior Data Engineer

Foundever®; India; Remote; INR 1,100,000 - 1,800,000; Full time

Job summary

Foundever seeks a Data Engineer/Senior Data Engineer to support the development and evolution of our data platform, building scalable Data Lake and Data Warehouse architectures on Databricks and Azure. You will migrate data from legacy systems, ensure data reliability and security, and enable high-quality analytics and reporting across the organization. The role requires strong SQL, Python, ETL design, data modelling, and BI tooling experience (Tableau/Power BI).

Qualifications

• 5+ years experience as a Data Engineer, cloud-based environments (Databricks, AWS or Azure).
• Strong ETL design/build experience for large datasets.
• Solid data lake/warehouse architecture & modelling knowledge.
• Advanced SQL and Python skills; BI/Reporting tool experience (Tableau or Power BI).

Responsibilities

• Lead data migration from host systems into modern Data Lake/Data Warehouse on Databricks/Azure.
• Design, build and optimize scalable data pipelines for operations and reporting.
• Consolidate data from multiple sources into a single trusted data repository.
• Develop and maintain Databricks workflows with performance, cost and reliability in mind.
• Collaborate with data scientists, analytics, IT and business stakeholders; document pipelines and models.

Skills

SQL

Python

ETL pipelines

Data modeling

Tools

Databricks

Azure

AWS

Tableau

Power BI

Git

Alteryx

Job description

Put simply, our mission is to be the solutions and the team behind the best experiences for the world’s leading brands. Wherever and whenever needed.

With 170,000 people working across the globe, Foundever securely connects brands with their customers 9 million times a day in 60+ languages. Our global footprint makes us one of the few true global players in the BPO industry.

The Opportunity:

We are seeking a skilled and motivated Data Engineer / Senior Data Engineer to support the development, optimisation, and ongoing evolution of Foundever’s data platform. This role will play a critical part in building and maintaining a scalable Data Lake and Data Warehouse architecture on Databricks , enabling high-quality operational and business reporting across the organisation.

Working closely with global stakeholders, the Data Engineer will lead data migration and consolidation efforts from existing host systems, ensuring data is reliable, secure, and fit for analytics and reporting use cases.

This is a hands-on role suited to someone who enjoys building robust data pipelines, solving complex data challenges, and working collaboratively across technical and business teams.

Key Responsibilities:

Data Architecture & Engineering

• Lead the migration of data from existing host systems into a modern Data Lake and Data Warehouse architecture on Databricks /Azure .
• Design, build, and optimise scalable, efficient data pipelines and workflows to support operational and business reporting.
• Consolidate data from multiple internal and external sources into a unified, trusted data repository.

Databricks Development

• Develop, maintain , and optimise Databricks workflows, ensuring reliable, timely , and high-performance data delivery.
• Implement best practices in data engineering, including performance optimisation , monitoring, and cost efficiency.
• Design and implement robust data models to support downstream analytics, BI tools, and reporting requirements.
• Support the migration of existing reporting infrastructure from on prem to Azure , ensuring continuity and data integrity.
• Support the BI report setup using tableau or powerbi

Data Quality, Governance & Security

• Ensure high standards of data quality, accuracy, and consistency throughout the data lifecycle.
• Proactively identify and resolve data quality issues.
• Ensure all solutions adhere to data governance, security, and privacy best practices.

Collaboration & Stakeholder Engagement

• Work closely with cross-functional teams including data scientists, analytics teams, IT, and business stakeholders.
• Partner with US and UK-based client teams to deliver data solutions aligned to business and reporting needs.

Documentation & Delivery

• Create and maintain clear, comprehensive technical documentation covering pipelines, workflows, and data models.
• Contribute to agile delivery processes, including version control, code reviews, and continuous improvement initiatives.

Your profile & experience:

• Minimum 5 years’ experience as a Data Engineer , ideally in cloud-based environments such as Databricks, AWS, or Azure .
• Strong experience designing and building ETL pipelines for large, complex datasets.
• Solid understanding of data lake and data warehouse architectures and data modelling techniques.
• Advanced SQL skills and experience working with large-scale datasets.
• Advanced knowledge of python programming language
• Experience integrating data from multiple systems and sources to create a unified data model .
• Experience working with BI and reporting tools such as Tableau , or Power BI .
• Experience working in agile development environments and using version control tools (e.g. Git).
• Strong communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Desirable: Experience designing and automating ETL workflows, including the use of tools such as Alteryx.