Data Engineer (Databricks)
Bridgenext (company site, opens in a new tab)4–6 yrsPuneOn-siteDirect career pageEst. 12–18 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain data pipelines and cloud data solutions on Databricks platform.
- Develop PySpark and SQL code for data ingestion, transformation, and loading, supporting routine workflows and troubleshooting data pipeline issues.
- Collaborate with data engineers and product teams while learning and applying Databricks features like Delta Live Tables and SQL Analytics.
Minimum Requirements
- 4-6 years experience in software or data engineering with exposure to cloud-based environments.
- Hands-on experience with Databricks platform, Apache Spark, PySpark, Python, and SQL.
- Bachelor's degree in Computer Science, Engineering, or related quantitative field.
- Experience with version control systems (Git) and some exposure to a major cloud platform (AWS, Azure, or GCP).
Ideal Candidate Profile
- Intermediate to senior-level engineer comfortable with modern data engineering stacks focused on Databricks and Spark.
- Experience working closely under senior guidance, showing ability to develop, maintain, and optimize data pipelines with minimal supervision.
- Proactive in learning new data engineering features and cloud tools and integrating them into workflows, with practical understanding of data warehousing and storage formats.