Responsibilities:
- Be an integral part of large scale client business development and delivery engagements
- Develop the software and systems needed for end-to-end execution on large projects
- Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
- Build the knowledge base required to deliver increasingly complex technology projects
Qualifications & Experience:
A bachelor s degree in Computer Science or related field with 5 to 10 years of technology experience
Desired Technical Skills:
- Data Engineering and Analytics on Google Cloud Platform:
- Basic Cloud Computing Concepts
- Bigquery, Google Cloud Storage, Cloud SQL,
- PubSub, Dataflow, Cloud Composer, GCP Data Transfer,
- gcloud CLI
- Python, Google Cloud Python SDK, SQL
- Experience in working with Any NoSQL/Columnar / MPP Database
- Experience in working with Any ETL Tool (Informatica / DataStage / Talend / Pentaho etc.)
- Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture
Other Desired Skills:
- Excellent communication and co-ordination skills
- Problem understanding, articulation and solutioning
- Quick learner & adaptable with regards to new technologies
- Ability to research & solve technical issues
Responsibilities:
- Developing Data Pipelines (Batch/Streaming)
- Developing Complex data transformations
- ETL Orchestration
- Data Migration
- Develop and Maintain Datawarehouse / Data Lakes
Good to have:
- Experience in working with Apache Spark / Kafka
- Machine Learning concepts
- Google Cloud Professional Data Engineer Certification
