2 to 4 years of hands-on experience in data engineering and analytics
Strong skills in statistical tools and programming languages such as Python, R, etc.
Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.
Proficiency in SQL for data extraction and manipulation.
Attention to detail and a commitment to data accuracy.
Proactive approach to identifying issues and providing solutions.
Strong analytical and problem-solving skills. Ability to analyse complex datasets and translate data into actionable insights.
Ability to present complex information in an understandable and compelling manner.
Good written and verbal communication skills
Ability to work independently and as part of a team

Data Engineer (Python, SQL, Databricks)