Principal Software Engineer

Description: ACCOUNTABILITIES: Designs, codes, tests, debugs and documents software according to Dell s systems quality standards, policies and procedures. Analyzes business needs and creates software solutions. Responsible for preparing design documentation. Prepares test data for unit, string and parallel testing. Evaluates and recommends software and hardware solutions to meet user needs. Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements. Works with business and development teams to clarify requirements to ensure testability. Drafts, revises, and maintains test plans, test cases, and automated test scripts. Executes test procedures according to software requirements specifications Logs defects and makes recommendations to address defects. Retests software corrections to ensure problems are resolved. Documents evolution of testing procedures for future replication. May conduct performance and scalability testing. RESPONSIBILITIES: Plans, conducts and leads assignments generally involving moderate, high budgets projects or more than one project. Manages user expectations regarding appropriate milestones and deadlines. Assists in training, work assignment and checking of less experienced developers. Serves as technical consultant to leaders in the IT organization and functional user groups. Subject matter expert in one or more technical programming specialties; employs expertise as a generalist of a specialist. Performs estimation efforts on complex projects and tracks progress. Works on the highest level of problems where analysis of situations or data requires an in-depth evaluation of various factors. Documents, evaluates and researches test results; documents evolution of testing scripts for future replication. Identifies, recommends and implements changes to enhance the effectiveness of quality assurance strategies. Description Comments Additional Details Description Comments : Data Quality Engineer -Skills: 8+ years of experience in Informatica Data Quality tool Proficiency in using Informatica Data Quality (IDQ) for data profiling to identify data anomalies and patterns. Ability to analyze data quality metrics and generate reports. Expertise in designing and implementing data cleansing routines using IDQ. Strong knowledge of SQL for querying databases. Experience with database systems like Lakehouse, PostgreSQL, Teradata, SQL Server. Skills in standardizing, validating, and enriching data. Ability to create and manage data quality rules and workflows in IDQ. Experience in automating data quality checks and validations. Knowledge of integrating IDQ with other data management tools and platforms. Skills in managing data flows and ensuring data consistency. Experience with data manipulation libraries like Pandas and NumPy Expertise in using PySpark for big data processing and analytics. Strong SQL skills for querying and managing relational databases. Ability to write complex SQL queries for data extraction and transformation.Good to have: Familiarity with industry-standard data quality tools.Role/Responsibilities: Work on development activities along with lead activities Coordinate with the Product Manager (PdM) and Development Architect (Dev Architect) and handle deliverables independently Collaborate with other teams to understand data requirements and deliver solutions. Design and implement data quality standards and measures using IDQ. Ensure data accuracy, reliability, and integrity. Conduct data profiling to identify data issues and anomalies Implement data cleansing routines to standardize and validate data. Create and manage data quality rules and workflows in IDQ. Automate data quality checks and validations. Develop and maintain scalable data pipelines using Python and PySpark Implement ETL processes to ensure accurate data processing. Not to Exceed Rate : (No Value)