Platform Engineer III (129014)

Job Summary

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
• 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