Senior Lead Data Product Build

Responsibilities include: Leading projects: Working on complex, cross-functional projects, and acting as a subject matter expert Building data Solution: Creating secure, stable, and scalable data pipelines, managing analytics platforms Design Standards and Framework: Provides appropriate consulting, interfacing, standards and framework for data pipelines, Advising Junior Data Engineers: Providing guidance to the fellow data engineers, operations support and implementation partners and making recommendations Evaluating access control: Evaluating and reporting on access control processes to determine data asset security Developing documentation: Creating technical documentation that supports best practices Required Qualification: Experience in preparing Data warehouse design artifacts based on given requirements - Defining Standards, Building Frameworks, and Source-Target Mapping Strong analytical and data modeling skills including logical and physical schema design Deep understanding of database technology and data use within analytic platforms Strong programming skills with SQL and PySpark, Experience with AWS cloud Services including EMR, Redshift/Postgres Experience in other Cloud / ETL technologies including Databricks, Snowflakes, Ab Initio Good Understanding of other programming languages Python, Java Proven experience with large, complex database projects in environments producing high-volume data Demonstrated Problem solving skills; familiarity with various root cause analysis methods ; experience in documenting identified problems and determined resolutions. Experience in analyzing Performance Issues analysis and Tuning Preferred Qualifications: Master s degree in information technology, Electrical Engineering or similar relevant fields. Proven experience (15 years minimum) with Datawarehouse design, build performance tuning and optimization Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches, Experience in developing streaming applications Spark Streaming, Flink, Storm, etc. Excellent conceptual abilities compared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes, Familiarity with SDLC concepts and processes Additional Skill: Experience in semiconductor / High Tech Manufacturing industry Experience with reporting data solutions and business intelligence tools Knowledge of statistical data analysis and data mining Experience in test management, test case definition and test processes