Senior Data Engineer (4 – 6Years of Exp)

1.      Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.

2.      Can drive multiple projects both from operational and technical standpoint.

3.      Ideate and build PoV or PoC for new product that can help drive more business.

4.      Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.

5.      Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.

6.      Lead architecture discussions, align with business needs, security, and best practices.

7.      Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing.

8.      Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.

9.      Understanding of Medallion architecture pattern.

10.  Has worked on at least one cloud platform.

11.  Has worked as data architect and executed multiple end-end data engineering project.

12.  Has extensive knowledge of different data architecture designs and data modelling concepts.

13.  Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.