Here's how you'll contribute :
- Understanding customer requirements and create technical proposition
- Managing and owning all aspects of technical development and delivery
- Understanding requirements and writing technical documents
- Ensuring code review and developing best practices
- Planning end to end technical scope of the project and customer engagement area including planning sprint and delivery
- Estimating effort, identifying risk and providing technical support whenever needed
- Demonstrating the ability to multitask and re prioritizing responsibility based on dynamic requirements
- Mentoring teams as needed
Skills required to contribute :
- 5+ Experience with Google Cloud Platform (GCP) products including BigQuery, Cloud Storage, Cloud Functions, DataProc, DataStudio.
- Must have Google Cloud BigQuery experience, including Datasets, Objects, IAM roles / bindings, logging explorer, troubleshooting the issues.
- Understanding of CI / CD pipeline, Terraform scripting for deploying the objects, IAM bindings.
- Knowledge of having data modelling (Erwin) and governance, Objects review and best practices.
- Good knowledge of Data Warehouse concepts, ETL pipelines including Informatica / Talend, IICS, any RDBMS (nice to have Teradata)
- Excellent communication and presentation skills.
- Extensive experience in Google Cloud stack Google Cloud Storage, Google BigQuery, Google Data Flow, Google DataProc, Google Data Studio etc.
- Experience in job scheduling using Oozie or Airflow or any other ETL scheduler
- Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
- Good experience in designing & delivering data analytics solutions using GCP Cloud native services.
- Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
- Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
- Experienced in internal as well as external stakeholder management
- Professional Google Cloud Data engineer certification will be added advantage
Nice to have skills : Working experience with Snowflake, Databricks, Open source stack like Hadoop Bigdata, Hive
30+ days ago