Databricks Data Engineer
InfoCepts (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
Reach people at InfoCepts
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at InfoCepts you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop, implement, and maintain PySpark code in Databricks to enable data and analytics use cases.
- Collaborate with architects to translate requirements into technical implementations for business intelligence.
- Code, test, and document data systems to create robust, scalable applications for data analytics.
Minimum Requirements
- Bachelor's degree in computer science, engineering, or related field.
- 5+ years of relevant experience in Data Engineering; 3+ years hands-on with Databricks, PySpark, and Python.
- Thorough understanding of Databricks Unity Catalog, Notebook, Autoloader, Data apps, Genie, and proficiency in SQL.
- Relevant experience in media domain.
Ideal Candidate Profile
- Experience operating in enterprise environments involving Databricks and AWS ecosystem focusing on data warehousing and analytics.
- Skilled in translating business requirements into technical solutions with robust coding and documentation standards.
- Comfortable working across time zones in self-organized, cross-functional teams with a research-focused approach.