- Work with business analysts and data architects to translate requirements into technical implementations

- Develop, implement, and maintain pyspark code through Databricks UI that enables data and analytics use cases for the client

- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics

Essential Skills :

- Hands on Experience with Databricks and PySpark

- Proficiency in SQL and data manipulation skills

- Understanding of data warehousing concepts and technologies

Desirable Skills :

- Understanding of Google Pub sub/Kafka/Mongo DB

- Familiarity with ETL processes and tools for data extraction, transformation, and loading

- Knowledge of cloud platforms like Snowflake, Google Cloud

- Familiarity with data governance and data quality best practices

- Relevant experience in Retail domain

Qualifications :

- Minimum 7 years of relevant experience in Data Engineerings

- Bachelors degree in computer science, engineering, or related field

- Demonstrated continued learning through one or more technical certifications or related methods

Qualities :

- Self-motivated and focused on delivering outcomes for a fast-growing team and firm

- Able to communicate persuasively through speaking, writing, and client presentations

- Able to consult, write, and present persuasively

- Able to work in a self-organized and cross-functional team

- Able to iterate based on new information, peer reviews, and feedback

- Able to work with teams and clients in different time zones

- Research focused mindset

Years Of Exp : 7 to 10 years