Software Engineer III
LexisNexis Risk Solutions (company site, opens in a new tab)Chennai, Gurugram, MumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, and Azure storage services.
- Ingest and transform large-scale structured and semi-structured data from multiple sources including relational databases and APIs into Azure data platforms.
- Collaborate with analysts, data scientists, and application teams to deliver high-quality data solutions supporting analytics, reporting, and operations.
Minimum Requirements
- Strong proficiency in SQL; solid understanding of data warehousing and ETL/ELT patterns.
- Hands-on experience with Azure Databricks, Spark SQL, PySpark, Azure Data Factory, ADLS Gen2, and Azure SQL/Synapse.
- Experience working with large-scale structured and semi-structured datasets.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing and optimizing data pipelines using modern Azure-native tools in enterprise-scale environments.
- Familiar with multiple data processing languages and platforms including ECL on HPCC, PySpark, Spark SQL, and Delta Lake.
- Able to work cross-functionally with data scientists, analysts, and business teams to translate complex data requirements into efficient engineering solutions.