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About the role
Responsibilities: Be an integral part of large scale client business development and delivery engagementsDevelop the software and systems needed for end-to-end execution on large projectsWork across all phases of SDLC, and use Software Engineering principles to build scaled solutionsBuild the knowledge base required to deliver increasingly complex technology projectsQualifications & 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 Certification Responsibilities: Be an integral part of large scale client business development and delivery engagementsDevelop the software and systems needed for end-to-end execution on large projectsWork across all phases of SDLC, and use Software Engineering principles to build scaled solutionsBuild the knowledge base required to deliver increasingly complex technology projectsQualifications & 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 Certification
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