Accordion Senior Data Engineer

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. Join us and make your mark on our company.

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!

Location:

Hyderabad, Telangana

Role Overview :

Accordion is looking for Senior Data Engineer with Database/Data Warehouse/Business Intelligence experience. He/she will be responsible for the design, development, configuration/deployment, and maintenance of the above technology stack. He/she must have in depth understanding of various tools & technologies in the above domain to design and implement robust and scalable solutions which address client current and future requirements at optimal costs.

The Senior Data Engineer should be able to understand various architecture and recommend right fit depending on the use case of the project.

A successful Senior Data Engineer should possess strong working business knowledge, familiarity with multiple tools and techniques along with industry standards and best practices in Business Intelligence and Data Warehousing environment.

He/she should have strong organizational, critical thinking, and communication skills.

What You will do:

- Understand the business requirements thoroughly to design and develop the Bl architecture.
- Determine business intelligence and data warehousing solutions that meet business needs.
- Perform data warehouse design and modelling according to established standards.
- Work closely with the business teams to arrive at methodologies to develop KPIs and Metrics.
- Work with Project Manager in developing and executing project plans within assigned schedule and timeline.
- Develop standard reports and functional dashboards based on business requirements.
- Ensure to develop and deliver high quality reports in timely and accurate manner.
- Conduct training programs and knowledge transfer sessions to junior developers when needed. Recommend
- improvements to provide optimum reporting solutions.

Ideally, you have:

- Undergraduate degree (B.E/B.Tech.) from tier- 1/tier-2 colleges are preferred.
- 2-5 years of experience in related field.
- Proven expertise in SSIS, SSAS and SSRS (MSBI Suite).
- In-depth knowledge of databases (SQL Server, MySQL, Oracle etc.) and data warehouse (Azure Synapse, AWS
- Redshift, Google Big Query, Snowflake etc.).
- In-depth knowledge of business intelligence tools (any one of Power Bl, Tableau, Qlik, DOMO, Looker etc.).
- Good understanding of…