Understand the business case and translate to a holistic solution involving AWS Cloud Services , PySpark , EMR, Python , Data Ingestion and Cloud DB Redshift / Postgres
PL/SQL development for high volume data sets, logical and physical schema design
Proven experience with large, complex database or data lake projects in environments producing high-volume data
Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and driving resolutions.
Communication with stakeholders and business partners across all worldwide locations.
Understanding and aligning business partners across locations doing requirements engineering and business case mapping.
Leading projects: Working on complex, cross-functional projects, acting as a subject matter expert, but also experience in project manager role
Designing data products : Creating trusted, reusable data products building on data collection, transformation and curation.
Developing documentation : Creating functional and technical documentation that supports best practices
Design data pipeline: Establish design artifacts based on user requirements and engage with ETL Build teams (ETL framework design, data modeling, source-target-mapping, architecture diagrams)
Interaction with Data Governance teams - aligning on data models, lineage and relationships.
Data Analysis for trouble shooting (e.g. data issues, performance issues) but also for BI & analytics interaction, potentially on large data sets
Interfacing with architecture team, cloud engineering teams and vendors on designing state of the art solutions.
Make recommendations regarding enhancements and/or improvements, provide consulting for operational aspects
Other Responsibilities:
Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams - as well as interfacing with vendors ( e.g. AWS)
Advising junior engineers & Build Team : Providing guidance to junior engineers and ETL Build team and BI/Analytics teams
Required Qualifications :
Bachelor or master s degree . Preferably in information technology or e lectrical e ngineering - but since job focus on business interaction also background in other fields is welcome.
Proven experience ( 10 year minimum) with data engineering, analytics , design and optimization.
Very good knowledge of data architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of OLAP/OLTP, ML, genAI , modelling , statistics .
Problem solving experience & analytics skills - e.g. with L6S curriculum (green/black belt)
Good experience in AWS Services, Big data, PySpark , EMR,Python, Cloud DB RedShift
Proven experience with large, complex data projects in environments producing high-volume data,
Proficiency in SQL and PL/SQL
Excellent conceptual abilities pared 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
Translate business requirements into technical specifications. This involves critical thinking, problem-solving, and the capacity to work with large datasets.
Additional Skill :
Experience using and developing on AWS services , AWS certification, AWS Solutions Architect
Proficiency in programming languages such as Python, PySpark , SQL, Java, C++ is highly recommended.
Understanding of machine learning and AI technologies is becoming increasingly important for data architects
Experience in semiconductor industry
Knowledge of Semistructured datasets
Experience with analytics & reporting solutions and business intelligence tools
Experience in collecting, structuring and summarizing requirements in a data warehouse environment,
Knowledge of statistical data analysis and data mining,
Experience in test management, test case definition and test processes
