Lead Data Engineer - Google Cloud Platform - ETL/SQL/Python (8-10 yrs)

Primary Skills : Exp in GCP Lead + Telecom Industry (Business Domain) + ETL

Job Description :

- Overall 10+ years of experience in data engineering, with a focus on cloud-based solutions.

- Experience in designing of solution and should be able to review and help team

- Extensive experience with Google Cloud Platform (GCP) and its data services, including BigQuery, DBT & Streaming, Dataflow, Pub/Sub, Cloud

- Storage, and Cloud Composer.

- Proven track record of designing and building scalable data pipelines and architectures.

- Experience with ETL tools and processes.

- Design, develop, and maintain robust and scalable data pipelines using GCP services such as Dataflow, Pub/Sub, Cloud Functions, and Cloud Composer.

- Implement ETL (Extract, Transform, Load) processes to ingest data from various sources into GCP data warehouses like BigQuery.

Technical Skills :

- DBT & Streaming, Dataflow, Cloud Storage, and Cloud Composer, Big Query, Cloud SQL, Cloud fire store, Cloud big table, airflow and GCP Cloud data Catalogue

- Proficiency in SQL and experience with database design and optimization.

- Strong programming skills in Python, Java, or other relevant languages.

- Experience with data modeling, data warehousing, and big data processing frameworks.

- Familiarity with data visualization tools (e.g., Looker, Data Studio) is a plus.

- Knowledge of machine learning workflows and tools is an advantage.

Soft Skills :

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

- Ability to work in a fast-paced environment and manage multiple tasks concurrently.

- Excellent leadership skills to be able to help the team members and guide & mentor the team

- Good with estimation and should have the ability to break down Milestone into Technical Tasks