Lead Developer - PS Innovations

Job Description

Bachelor s / Master s degree in a quantitative field (e.g. Computer Science, Statistics, Engineering) 6+ years of relevant experience in Data Analytics or Data Engineering 5+ years of hands-on experience in SQL NoSQL working large datasets. Hands-on application development experience in AWS and experience in Snowflake, tableau or power BI. Good working knowledge on any programming language like Javascript or python. Proficiency with REST API, JSON, AWS Experience in working and delivering projects independently. Ability to multi-task and context switch between projects and tasks. Curiosity, passion, and drive for data queries, analysis, quality, models. Excellent communication, initiative, and coordination skills with great attention to detail. Ability to explain and discuss complex topics with both experts and business leaders Application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc. is an added advantage. Key Responsibilities: Interface with business customers, gathering and understanding requirements Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results Define and utilize data intuition process to cleanse and verify the integrity of customer Genesys data to be used for analysis Implement, own, and improve data pipelines using best practices in data modelling, ETL/ELT processes Build, improve, and provide ongoing optimization of high quality models Work with PS Engineering to deliver specific customer requirements and report back customer feedback, issues and feature requests. Continuous improvement in reporting, analysis, overall process. Visualize, present and demonstrate findings as required. Perform knowledge transfer to customer and internal teams. Communicate within the global community respecting cultural, language and time zone variations Demonstrate flexibility to adjust working hours to match customer and team interactions Minimum Requirements : Knowledge of SQL language and cloud-based technologies Data warehousing concepts, data modelling, metadata management Data lakes, multi-dimensional models, data dictionaries Migration to AWS or Azure Snowflake platform Performance tuning and setting up resource monitors Snowflake modelling - roles, databases, schemas SQL performance measuring, query tuning, and database tuning ETL tools with cloud-driven skills Ability to build analytical solutions and models Coding in languages like Python, Java, JavaScript Root cause analysis of models with solutions Managing sets of XML, JSON, and CSV from disparate sources SQL-based databases like Oracle SQL Server, Teradata, etc. Snowflake warehousing, architecture, processing, administration Data ingestion into Snowflake Enterprise-level technical exposure to Snowflake applications Desirable Skills: Sql-advanced, Snowflake. Good have AWS- Lambda , S3. Expertise in Data Engineering Prior Working experience with Contact center reporting with Genesys cx, Genesys engage , pure connect, cisco , and Avaya etc.. is an added advantage. Prior working experience with Genesys Cloud - Preferrable