Principal Software Engineer - IT - India_AGS @ Infobahn Softworld

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.

Additional Details

• Description Comments : Skills: Python, PySpark and SQL 8+ years of experience in Spark, Scala, PySpark for big data processing Proficiency in Python programming for data manipulation and analysis. Experience with Python libraries such as Pandas, NumPy. Knowledge of Spark architecture and components (RDDs, DataFrames, Spark SQL). Strong knowledge of SQL for querying databases. Experience with database systems like Lakehouse, PostgreSQL, Teradata, SQL Server. Ability to write complex SQL queries for data extraction and transformation. Strong analytical skills to interpret data and provide insights. Ability to troubleshoot and resolve data-related issues. Strong problem-solving skills to address data-related challenges Effective communication skills to collaborate with cross-functional teams.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, develop, and maintain scalable data pipelines using Python and PySpark. Utilize PySpark and Spark scripting for data processing and analysis Implement ETL (Extract, Transform, Load) processes to ensure data is accurately processed and stored. Develop and maintain Power BI reports and dashboards. Optimize data pipelines for performance and reliability. Integrate data from various sources into centralized data repositories. Ensure data quality and consistency across different data sets. Analyze large data sets to identify trends, patterns, and insights. Optimize PySpark applications for better performance and scalability. Continuously improve data processing workflows and infrastructure.
• Not to Exceed Rate : (No Value)