Company overview Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact.

Accordion works at the intersection of Private Equity sponsors and portfolio companies' management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data, analytics and AI.

Accordion is headquartered in New York City with 10 offices worldwide, including the India office
Data & Analytics (Accordion | Data & Analytics)
Accordion's Data & Analytics (D&A;) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

D&A; team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a high-growth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion's future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together.

Join us and experience a better way to work!

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. 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.
Stay current on emerging cloud platforms, data tools, and AI ecosystem developments.





An undergraduate degree (B.E/B.Tech.) 3–6 years of experience in data engineering, data warehousing, or cloud data platform development.
~ Strong SQL proficiency — query optimization, complex transformations, and data modeling across relational and columnar databases.
~ Hands-on experience with at least one of: Microsoft Fabric, Azure Synapse Analytics, Databricks, Snowflake, Google BigQuery, or AWS Redshift.
~ Experience with cloud-native orchestration tools: Azure Data Factory, Databricks Workflows, dbt, or Apache Airflow.
~ Familiarity with data lake and lakehouse architecture using open table formats (Delta Lake, Apache Iceberg) on cloud storage (ADLS, S3, GCS).
~ Experience with streaming platforms (Apache Kafka, Azure Event Hubs, AWS Kinesis) is a strong plus.
~ Hands-on experience owning end-to-end DevOps practices, including designing and implementing CI/CD pipelines, to ensure robust, scalable, and repeatable deployment of data solutions across environments.
~ Working knowledge of BI tools (Power BI, Tableau, Looker) is a strong plus.
~ Awareness of AI-ready data design principles – governance, and accessibility for AI consumption.
~ A strong habit of responsibly using AI tools to improve delivery speed and code quality.
~ Thrive in a meritocratic, high-growth workplace with semi-annual performance and promotion cycles.
Experience a non-bureaucratic, high-energy culture alongside high-calibre peers. We provide fully covered Health and Group Term Life Insurance for you, with health insurance coverage extending to your immediate family.
Access expert medical guidance through on-site health camps or our integrated tele-health services. This ecosystem includes free qualified consultations alongside discounted healthcare services including dental and vision care.
We support working parents with a fully sponsored, premium on-site Day Care facility.
Our robust leave policy is an intentional commitment to work-life integration, featuring dedicated maternity and parental support designed to help current parents through life's major transitions.

📌 Senior Data Analysis Engineer (Hyderabad)
🏢 Accordion India
📍 Hyderabad