Responsibilities:

• Acquiring datasets that align with business needs.
• Developing algorithms to transform data into useful, actionable information using SQL and
  ETL pipelines and stored procedures.
• Building, testing, and maintaining database pipeline architectures.
• Performing root cause analysis on internal and external data and processes to answer
  specific business questions and identify opportunities for improvement.
• Manipulating, processing, and extracting value from large, disconnected datasets.
• Supporting and working with cross-functional teams in a dynamic environment.

Prerequisites:

• Any graduates (BE/BTech/MTech/MCA from a reputed institute would be preferred).
• Strong analytical and problem-solving skills with the ability to question facts.
• Knowledge on Python and SQL.
• Working with relational databases, query authoring (SQL), and working familiarity with
  various databases

Experience:

• Any project related experience in the above mentioned technologies.