GCP Data Engineer - Python / SQL

Job Title : Consultant / Senior Consultant Technology & Transformation (T&T) Team

Experience Required : 3-7 years

Job Type : Full-time

Industry : Consulting / Technology

Department : Technology & Summary :

We are looking for a highly skilled and motivated Analyst / Consultant / Senior Consultant to join our Technology & Transformation (T&T) team. In this role, you will be responsible for designing, developing, and deploying cloud-based automation and data solutions using leading-edge tools and technologies. You will work closely with internal teams and clients to understand business requirements and deliver scalable, cost-efficient, and high-performance solutions on the Google Cloud Platform Responsibilities :

• Design, develop, and deploy data and automation solutions using industry best practices and GCP services.
• Configure and optimize robotic process automations using core workflow principles for clarity and maintainability.
• Collaborate with stakeholders to analyze current business processes and translate them into automated solutions.
• Develop and maintain detailed documentation throughout the development lifecycle including UAT and production phases.
• Resolve technical issues and ensure stability and reliability of deployed solutions.
• Coordinate with business users and process owners to gather requirements and design effective process flows.
• Implement data quality checks, validation mechanisms, and monitoring for data integrity.
• Optimize data pipelines and infrastructure for performance and cost-efficiency, adhering to GCP best practices.
• Work cross-functionally with data scientists, analysts, and developers to ensure technical alignment and data Skills & Qualifications :
• Hands-on experience with GCP services : BigQuery, Cloud Storage, Dataflow, Cloud Composer (Airflow), IAM.
• Proficiency in GCP databases : Bigtable, Spanner, Cloud SQL, AlloyDB.
• Strong programming and scripting skills in SQL, Python, Java, or Scala.
• Good understanding of data modeling, warehousing, and big data processing concepts.
• Experience with relational databases such as PostgreSQL, MySQL, or Oracle and ability to write complex SQL queries.
• Knowledge of NoSQL databases such as MongoDB, Cassandra, Scylla, or DynamoDB is a plus.
• Familiarity with CI / CD tools and processes : Git, Jenkins, SonarQube, Docker, Artifactory.
• Experience in orchestrating data workflows using Cloud Composer or Apache Airflow.
• Ability to manage multiple tasks effectively and work independently or as part of a team.
• Strong problem-solving and communication Qualifications :
• Experience in end-to-end Data Warehouse (DW) implementation projects.
• Exposure to data migration strategies across heterogeneous systems.
• Google Cloud certification (e.g., Professional Data Engineer, Associate Cloud Engineer) is a plus.

(ref : hirist.tech)