Senior Software Engineer Data Engineer Databricks PySpark
Société Générale (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and manage end-to-end scalable data pipelines and ELT flows using Azure services including Databricks (PySpark), ADLS Gen2, ADF, and Synapse Analytics.
- Administer and secure Azure databases, implement data modeling (star/snowflake schemas) and data architecture strategies involving data lakes and warehouses.
- Operate DevOps CI/CD pipelines and infrastructure as code (Terraform), and leverage Linux, Docker, and Kubernetes in the data engineering workflow.
Minimum Requirements
- Proven experience delivering complex data products with expertise in Azure data services: Databricks (PySpark), ADLS, ADF, SQL, and Python.
- Experience with DevOps CI/CD practices, GIT version control, and infrastructure as code tools like Terraform.
- Familiarity with Linux, Docker, and Kubernetes environments.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong background in cloud-based data engineering focusing on Microsoft Azure ecosystem and big data technologies (Spark).
- Experience handling all stages of data pipelines from integration, transformation to secure storage within enterprise-scale environments.
- Comfortable operating in DevOps-focused environments incorporating CI/CD workflows and infrastructure automation tools.