Senior Data Engineer

Roles and responsibilities -

The individual will be responsible for designs, builds, and maintains scalable data solutions including data models, ETL pipelines, and real-time processing systems He/she is also responsible for mentoring junior team members and play a pivotal role in overseeing the technical aspects of data related projects.

MUST HAVE

Experience on working with ETL on a data warehouse or big data projects.

Experience with cloud services like Azure or GCP or AWS with respect to the data related services, could be just ETL, data cleanup or BI but has potential to be groomed in a 1-2 month period. Should have energy and enthusiasm to

get into new things, able to stretch.

Good SQL skills and able to solve complex problems in database SQL language efficiently.

Able to identify and resolve performance and scalability issues.

Can work as an individual contributor.

Basic understanding of reporting tools and basic visuals.

Actively participate and manage design and code reviews.

Help in estimation the task with assistance.

Guide team members on the project, including structured problem solving, development of best practices, etc.

Good communication and analytical skills.

GOOD TO HAVE

Understands agile project development concepts like sprint/scrum etc.

Good to have exp in Python.

Certifications in SQL and cloud technologies.

Experience on Master data management or data governance related areas.

Understands concepts like streaming data processing, data lake, and distributed data architecture.Role & responsibilities