Senior Data Engineer

1 month ago

Hyderabad, India Accordion India Full time

Company Overview

Accordion works at the intersection of sponsors and management teams throughout every stage of the investment lifecycle, providing hands-on, execution-focused support to enhance the capabilities of the CFO's office.

So, what does it mean to work at Accordion? It means joining 1,000+ analytics, finance & technology experts in a high-growth, agile, and entrepreneurial environment while changing the way 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.

Accordion is headquartered in New York City with 10 offices around the globe. Join us


Data & Analytics

Accordion's Data & Analytics (D&A) team offers 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.

We 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.


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:

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


Ideally, you have:

  1. Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.
  2. Good understanding of Azure (Data Factory / Data Bricks / Data Lake & Pipelines, SQL Database & Managed Instances, DevOps, Logic Apps, Analysis Services), AWS (Glue, Aurora Database, Dynamo Database, Redshift, QuickSight)
  3. 2 - 5 years of experience in related field.
  4. In-depth knowledge of data warehouse (Azure Synapse, AWS Redshift, Google BigQuery, Snowflake etc.).
  5. In-depth knowledge of business intelligence tools (any one of Power BI, Tableau, Qlik, DOMO, Looker etc.).
  6. Proven abilities to take on initiative and be innovative.
  7. Analytical mind with problem solving attitude.

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