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 BI 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 BigQuery, Snowflake etc.).
- In-depth knowledge of business intelligence tools (any one of Power BI, Tableau, Qlik, DOMO, Looker etc.).
- Good understanding of Azure (Data Factory & Pipelines, SQL Database & Managed Instances, DevOps, Logic Apps, Analysis Services), AWS (Glue, Aurora Database, Dynamo Database, Redshift, QuickSight).
- Proven abilities to take on initiative and be innovative.
- Analytical mind with problem solving attitude.