Capabilities needed:

- Min 7-8 years of hands-on experience in GCP Data Engineering designing,buildingand supporting distributed systems andlarge-scale data processing systemsin production with a proventrack record.
- Expertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka
- Positive hands on experience to Build Batch Data and Streaming Data Pipelines on Google Cloud
- Strong coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go).Strong SQL ability to write complex queries is must;
- Strong working experience with operational data stores, data warehouse, big datatechnologiesand data lakes
- Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop)
- Good knowledge of containers (Docker, Kubernetes etc)



and experience with cloud platforms such as GCP, Azure or AWS.
- Experience working with(Real Time streaming), such as Kafka technologies.
- Experience and knowledge of automation and CI/CD Jenkins, GitHub & Spinnaker.
- Clear understanding of data structures, algorithms, software design, designpatternsand core programming concepts.
- Competent in client handling and lead the feature team to deliver outcome;

And any experience of these would bereally useful:

- Certification in GCP “Cloud Architect”,“Cloud Developer”,“Professional Data Engineer”
- Certification in Apache Kafka (CCDAK)

📌 GCP Data Architect Opening with CAPCO-Bangalore/Hyderabad
🏢 CAPCO
📍 Hyderabad