Technical Lead
The Guardian (company site, opens in a new tab)On-siteDirect career pageEst. 18–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development and optimization of scalable data pipelines using Databricks and PySpark.
- Develop and tune advanced SQL queries and Spark jobs to improve performance and data processing efficiency.
- Manage version control and deployment practices for production data workflows.
Minimum Requirements
- Hands-on experience with Databricks platform including notebooks, jobs, and clusters.
- Proficiency in PySpark and advanced SQL (including joins, window functions, performance tuning).
- Solid understanding of ETL concepts, data warehousing, and data modeling.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience working with cloud platforms like AWS and familiarity with Delta Lake or similar data lake architectures.
- Knowledge of CI/CD pipelines (e.g. Jenkins) and data governance tools such as Unity Catalog.
- Background working in Agile/Scrum environments and understanding data quality frameworks.