▷ Apply Now: Senior Software Engineer Ii

Senior Software Engineer II Would you like to be part of a team that delivers high-quality software to our customers Are you passionate about technology and innovation About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk Within our Business Services vertical we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth maximize operational efficiencies and improve customer experience Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering Counter Terrorist Financing Identity Authentication Verification Fraud and Credit Risk mitigation and Customer Data Management Learn more about LexisNexis Risk at About the Team Team is tech hub for rest of the organization and hence working across multiple domains - Healthcare Insurance Government etc Team primarily works on data extraction manipulation loading and analytics using technologies like Python PySpark Bigdata - HPCC language ECL Talend Azure tools Data Synapse ADF etc Power BI etc About the Role We are seeking a dedicated and skilled developer to join our team of Data engineers and Data Analysts working with various stakeholders As a Senior Azure Data Engineer You will be responsible to provide for designing implementing and maintaining sophisticated software solutions leveraging your expertise in Python PySpark SQL and API integration on Azure platform services like ADF and Databricks You will also leverage various AI Agents like Genie and Copilot to improve productivity Responsibilities Data Pipeline Engineering Design and build scalable high-performance ETL ELT pipelines using Azure Data Factory and Azure Databricks handling ingestion and transformation of data from diverse internal and external sources Advanced Data Preparation Transformation Implement complex transformation logic using PySpark and SQL to standardize cleanse and normalize large-scale datasets including nested JSON Data Modeling Create and maintain dimensional models star snowflake schemas and structured outputs to support analytics reporting and regulatory use cases Performance Optimization Profile and tune PySpark jobs for performance using techniques such as caching partitioning and broadcast joins Ensure pipelines scale efficiently with increasing data volumes Governance Quality Assurance Apply robust data validation quality checks and maintain metadata lineage with Unity Catalog Adhere to governance standards across the pipeline lifecycle Cross-Functional Collaboration Partner with business analysts product managers data scientists and QA teams to understand data requirements and deliver fit-for-purpose solutions Documentation Knowledge Sharing Maintain comprehensive documentation on data flows architecture and models Support upskilling and mentoring of junior team members AI-Enhanced Development Utilize Databricks Genie and related AI assistants to accelerate development ensure code quality and assist in troubleshooting Requirements Bachelor s or Master s degree in Computer Science Data Engineering or equivalent practical experience Total experience of 6 to 8 years and 5 years in data engineering roles with hands-on experience in PySpark SQL and Azure-based data ecosystems Strong background in building robust and maintainable pipelines using Azure Data Factory and Databricks Proven expertise in data modeling schema design and large-scale data preparation for analytics Proficient in Git version control workflows and CI CD practices Solid understanding of data governance metadata management and data quality frameworks Exposure to Unity Catalog Databricks Genie or other AI-enhanced data engineering tools is preferred Excellent analytical debugging and stakeholder communication skills Familiarity with Agile or Scrum-based delivery Experience with machine learning workflows and integrating model outputs into data pipelines Exposure to Salesforce Alfresco or Schedule A contract data formats is a bonus Learn more about the LexisNexis Risk team and how we work at We are committed to providing a fair and accessible hiring process If you have a disability or other need that requires accommodation or adjustment please let us know by completing our or please contact 1-855-833-5120 Criminals may pose as recruiters asking for money or personal information We never request money or banking details from job applicants Learn more about spotting and avoiding scams Please read our We are an equal opportunity employer qualified applicants are considered for and treated during employment without regard to race color creed religion sex national origin citizenship status disability status protected veteran status age marital status sexual orientation gender identity genetic information or any other characteristic protected by law USA Job Seekers