What you will do:

• You will work on enterprise data platforms, architect and implement data lakes both on-prem and in the cloud.
• You will be responsible for evolving technical architecture, design and implementation of data solutions using a variety of big data technologies. You will work extensively on all major public cloud platforms - AWS, Azure and GCP.
• You will work with senior technical architects on our client side to evolve an effective technology architecture and development strategy to implement the solution.
• You will work with extremely talented peers and follow modern engineering practices using agile methodologies.
• You will coach, mentor and lead other engineers and provide guidance to ensure the quality of and consistency of the solution.

• Passion for data engineering, in-depth knowledge of some of the following technologies – SQL (expert level), Python (expert level), Spark (intermediate level), Big data stack of one of AWS/GCP.
  
• Hands on experience in data wrangling, data munging and ETL. Should be able to source data from anywhere and transform data to any shape using SQL, Python or Spark.
• Hands on experience working with variable data structures like XML/JSON/AVRO etc
• Ability to create data models and architect data warehouse components
• Experience with Version control (GIT/BIT BUCKET etc)
• Strong understanding of Agile, experience with CI/CD pipelines and processes
• Ability to communicate with technical as well as non-technical audience
• Collaborating with various stakeholders
• Have led scrum teams, participated in Sprint grooming and planning sessions, work / effort sizing and estimation