Data Engineer

Project Role :Data Engineer


Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills :Google Cloud Platform Architecture


Good to have skills :Google BigQuery
Minimum

5 year(s) of experience is required


Educational Qualification :15 years full time education

Summary:We are seeking a skilled GCP Data Engineer to join our dynamic team. The ideal candidate will design, build, and maintain scalable data pipelines and solutions on Google Cloud Platform (GCP). This role requires expertise in cloud-based data engineering and hands-on experience with GCP tools and services, ensuring efficient data integration, transformation, and storage for various business use cases.________________________________________
Roles & Responsibilities:

Design, develop, and deploy data pipelines using GCP services such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage.

Optimize and monitor data workflows for performance, scalability, and reliability.

Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and implement solutions.

Implement data security and governance measures, ensuring compliance with industry standards.

Automate data workflows and processes for operational efficiency.

Troubleshoot and resolve technical issues related to data pipelines and platforms.

Document technical designs, processes, and best practices to ensure maintainability and knowledge sharing.________________________________________
Professional & Technical Skills:a) Must Have:

Proficiency in GCP tools such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage.

Expertise in SQL and experience with data modeling and query optimization.

Solid programming skills in Python ofor data processing and ETL development.

Experience with CI/CD pipelines and version control systems (e.g., Git).

Knowledge of data warehousing concepts, ELT/ETL processes, and real-time streaming.

Strong understanding of data security, encryption, and IAM policies on GCP.b) Good to Have:

Experience with Dialogflow or CCAI tools

Knowledge of machine learning pipelines and integration with AI/ML services on GCP.

Certifications such as Google Professional Data Engineer or Google Cloud Architect.________________________________________
Additional Information:
Additional Information:

- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services

and overall Experience is 7- 9 years

- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.


Qualifications
15 years full time education