Purpose of the Position: Develop, support and steer end-to-end business intelligence using Databricks.
Key Result Areas and Activities:
- 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 recent 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
Desirabe 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 Engineering
- 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
Location
Pune, Maharashtra, India
Years Of Exp
7 to 10 years
📌 Lead Data Engineer- Databricks (India)
🏢 InfoCepts
📍 India
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