Platform Engineer III

Job Summary

Data Engineer

Key Responsibilities

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

Skill Requirements

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

Other Requirements

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