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 ConceptsBigquery, Google Cloud Storage, Cloud SQL,PubSub, Dataflow, Cloud Composer, GCP Data Transfer,gcloud CLIPython, Google Cloud Python SDK, SQLExperience in working with Any NoSQL / Columnar / MPP DatabaseExperience 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 ArchitectureOther Desired Skills :
Excellent communication and co-ordination skillsProblem understanding, articulation and solutioningQuick learner & adaptable with regards to new technologiesAbility to research & solve technical issuesResponsibilities :
Developing Data Pipelines (Batch / Streaming)Developing Complex data transformationsETL OrchestrationData MigrationDevelop and Maintain Datawarehouse / Data LakesGood to have :
Experience in working with Apache Spark / KafkaMachine Learning conceptsGoogle Cloud Professional Data Engineer CertificationSkills Required
Nosql, Gcp, BigQuery, Python, Etl