Accordion India
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Hyderabad · On-site · 3-5 Yrs · 1 day ago
Business consulting · 1001 to 5000 Employees · Hyderābād, India
Accordion works at the intersection of Private Equity sponsors and portfolio companies. We provide execution-oriented support to the office of the CFO, driving strategic initiatives across every stage of the investment lifecycle. Headquartered in New York, we have 10 offices worldwide. Our India-based Data & Analytics (D&A) team of 800+ professionals build leading-edge solutions for a global clientele. By combining domain knowledge, sophisticated tools, and advanced analytics, we help solve complex business challenges and transform decision making with data-driven insights. Our partnerships with Private Equity firms and their portfolio companies span diverse sectors such as Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. Rooted in our five values — Challenge Convention, Think Like an Owner, Partner with Authenticity, Coach and Be Coached, and Pivot and Persevere — we are committed to lasting value creation. Learn more at www.accordion.com
Hiring: Engineering
What employees say
+ Growth curve is massive in the initial stages
− Work life balance is not great
More reviews on the company profile.
Interview experience · Talent Acquisition
The interview process was well-structured, professional, and engaging. Discussions covered both technical and behavioral aspects relevant to the role. Interviewers were approachable, communicated expectations clearly, an
Average difficulty · India · 10 reports
More interview insightsJob description
Overview
Accordion works at the intersection of Private Equity sponsors and portfolio companies management teams across every stage of the investment lifecycle.
Responsibilities
- The Senior Data Engineer at Accordion is responsible for designing and developing robust, scalable
- data platforms that power analytics and AI-driven decision-making across client organizations. This
- role requires hands-on expertise in cloud-native data architecture, modern warehousing, and pipeline development, with the ability to independently lead workstreams and mentor junior engineers.
- The Senior Data Engineer will take an AI-first approach to every engagement leveraging AI
- development tools to accelerate delivery, building data infrastructure that is AI-ready by design, and contributing to MCP (Model Context Protocol) server builds that expose data capabilities to AI agents and LLM-powered workflows.
- Partner with client stakeholders to understand business requirements and contribute to designing cloud-native data platform architectures that meet current and future needs.
- Implement modern data integration patterns: ELT/ETL orchestration, streaming pipelines, and real-time data processing.
- Implement data solutions on technology-agnostic, cloud modern data platforms such as Microsoft Fabric, Snowflake, Databricks, BigQuery, and Redshift.
- Build data infrastructure that is AI-ready by design ensuring proper governance, lineage, and accessibility patterns that enable downstream AI and analytics consumption.Contribute to the build and deployment of MCP (Model Context Protocol) servers to expose data platform capabilities as tools consumable by AI agents and LLM-powered workflows, where applicable.
- Integrate/leverage AI tools (Claude, GitHub Copilot, Cursor, or similar) responsibly to accelerate pipeline development, code reviews, and documentation.
- Collaborate with multiple stakeholders to define KPIs, data models, and metrics frameworks aligned with client goals.Partner with Project Managers to develop and execute project plans within agreed schedules and timelines.
- Conduct knowledge transfer sessions and mentor junior engineers.
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Job application FAQ
Last updated 6 October 2026
- How do I apply for Accordion India - Senior Data Engineer at Accordion India?
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- Is Accordion India - Senior Data Engineer remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
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