Padmi

Cloud Engineer - GCP Cloud Data Engineer

Delhi NCRPosted 2 months ago
Data Science And StatisticsSeniorFull Time; Regular
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Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth .Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. 7+ yea rs in data engineering with strong GCP experti aryWe are seeking a Senior GCP Data Engin eer to design, build, and operate scalab le batch and real-time data pipelin es on Google Cloud Platform (G CP). The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environmen tiesDesign, develop, and maint ain batch and real-time ETL/ELT pipel ines on GCPBuild and optimize data pipelines us ing Py thonImplement streaming solutions us ing Pub/Sub and Data flowDevelop and manage batch workflows us ing Cloud Comp oserDesign and optimize data models and queries in BigQ ueryWork with large-scale, low-latency data stores such as Bigt ableEnsure data quality, reliability, performance, and scalabi lityManage source code, reviews, and collaboration us ing Gi ionsCollaborate with product, platform, and analytics teams in an Agile s tionsStrong hands-on experience with Google Cloud Platform (GCP)Proven expertis e in batch and real-time data pipelinesStrong programming experienc e in PythonHands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud ComposerSolid understandin g of data modeling, ETL/ELT, and distributed data syCI/CDExperience workin g in Agile environmentsStrong knowledg e of data security and access manag to HaveExperience with data governance, lineage, and observabilit y toolsExposure to large-scale analytics or enterprise data pl Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth .Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. 7+ yea rs in data engineering with strong GCP experti aryWe are seeking a Senior GCP Data Engin eer to design, build, and operate scalab le batch and real-time data pipelin es on Google Cloud Platform (G CP). The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environmen tiesDesign, develop, and maint ain batch and real-time ETL/ELT pipel ines on GCPBuild and optimize data pipelines us ing Py thonImplement streaming solutions us ing Pub/Sub and Data flowDevelop and manage batch workflows us ing Cloud Comp oserDesign and optimize data models and queries in BigQ ueryWork with large-scale, low-latency data stores such as Bigt ableEnsure data quality, reliability, performance, and scalabi lityManage source code, reviews, and collaboration us ing Gi ionsCollaborate with product, platform, and analytics teams in an Agile s tionsStrong hands-on experience with Google Cloud Platform (GCP)Proven expertis e in batch and real-time data pipelinesStrong programming experienc e in PythonHands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud ComposerSolid understandin g of data modeling, ETL/ELT, and distributed data syCI/CDExperience workin g in Agile environmentsStrong knowledg e of data security and access manag to HaveExperience with data governance, lineage, and observabilit y toolsExposure to large-scale analytics or enterprise data pl

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