Data Engineer - ETL/Python
Description
We are hiring for Data Engineer - 5-12 years experience
Responsibilities :
- Build and Optimize ELT/ETL Pipelines using Big Query, GCS, Dataflow, Pub Sub and Orchestration services Composer/Airflow.
- Hands-On experience in building ETL/ETL 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.
Good to have skills :
- AI/ML, Gen AI Back ground.
- 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.