7 days ago
Bengaluru, IndiaSenior
Responsibilities
- Lead migration from existing host systems into Databricks and Azure data lake and data warehouse architecture.
- Design, build, optimize, and maintain scalable data pipelines, ETL processes, and Databricks workflows.
- Consolidate data from internal and external sources into a unified and trusted repository.
- Design data models for analytics, BI tools, and operational and business reporting.
- Support migration of on-premises reporting infrastructure to Azure and assist with Tableau or Power BI report setup.
- Monitor and improve data quality, performance, reliability, security, privacy, and cost efficiency.
- Collaborate with data scientists, analytics teams, IT, business stakeholders, and US- and UK-based client teams.
- Create technical documentation and contribute to version control, code reviews, agile delivery, and continuous improvement.
Requirements
- At least five years of 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 and complex datasets.
- Solid understanding of data lake and data warehouse architectures and data modeling techniques.
- Advanced SQL skills and experience with large-scale datasets.
- Advanced knowledge of Python.
- Experience integrating data from multiple systems and sources into a unified data model.
- Experience with BI and reporting tools such as Tableau or Power BI.
- Experience in agile development environments and with version control tools such as Git.
- Strong communication and collaboration skills with technical and non-technical stakeholders.
- Experience designing and automating ETL workflows with tools such as Alteryx is desirable.
About Foundever
Foundever provides outsourced customer experience and contact-center operations for enterprise brands, combining human agents with digital tools, AI and analytics. The privately held company is headquartered in Miami, FL and emerged in 2023 when Sitel Group rebranded following its acquisition of Sykes. It supports clients across dozens of countries and channels (voice, chat, social, back office), offering managed CX operations, consulting, and supporting technologies.