Platform Engineer III

Build and Optimize ELT/ETL Pipelines using BigQuery, GCS, Dataflow, PubSub and Orchestration services Composer/Airflow

• Hands-On experience in building ETL/ELT Pipelines with developing software code in Python
• Experience in working with data warehouses, data warehouse technical architectures, reporting/analytic tools
• Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data
• Demonstrate extensive skills and success in the implementation of technology projects within a professional environment, with a particular focus on data engineering
• Eager to learn and explore new services within GCP to enhance skills and contribution to Projects
• Demonstrated excellent communication, presentation, and problem-solving skills.
• Prior Experience in ETL tool such as DBT,Talend Etc

Technical / Functional Skills:- • Knowledge in architecture principles, guidelines and standards

• Data Warehousing
• Programming Language: Python, SQL
• Big Data
• Data Analytics
• Experience in Building Streaming and Batch data pipelines with GCP services

Experience in designing & implementing solution in mentioned areas: Cloud Storage, BigQuery, Data Flow, DataProc, PubSub,Data Fusion,Cloud Function,Composer etc

Good to have skills

• AI/ML,Gen AI Backgroud
• IAM, Cloud Logging and Monitoring
• The Data Engineer coaches the junior data engineering personnel position by bringing them up to speed and help them get better understanding of overall Data ecosystem.
• Working Experience with Agile methodologies and CI/CD Tools like Terraform/Jenkins
• Working on Solution deck, IP build, client meetings on requirement gathering

1. Optional but valuable: Certification in VLSI Design or related EDA tool certifications (Cadence Certified, Synopsys Certified).