Data Architect
Tredence Inc.
About Us
Tredence differentiates itself from other analytics services firms by enabling last-mile adoption of insights. We drive true business impact by uniting our strengths in business analytics , data science , and software engineering . We help our clients deliver on the artificial intelligence imperative in a practical and demystified way. To know more, visit:
Job Overview
As a Specialist Data Engineer at Tredence, you will play a pivotal role in designing, building, and optimizing data pipelines and analytics solutions on Google Cloud Platform (GCP) tailored for the retail sector. Success in this role means enabling seamless data integration and transformation that drives insightful decision-making and business value for our clients. You will collaborate closely with cross-functional teams to ensure reliable data infrastructure that supports scalable analytics and AI initiatives.
Job Overvie
wAs a Specialist Data Enginee r at Tredence, you will play a pivotal role in designing, building, and optimizing data pipelines and analytics solutions on Google Cloud Platform (GCP ) tailored for the retail sector. Success in this role means enabling seamless data integration and transformation that drives insightful decision-making and business value for our clients. You will collaborate closely with cross-functional teams to ensure reliable data infrastructure that supports scalable analytics and AI initiatives
.
What Will Your Role Look Lik
- e?Data Pipelin es: Design, develop, and maintain workflows using GCP Composer and other GCP service
- s.Data Stora ge: Architect scalable solutions leveraging BigQuery, BigTable, and Datastore tailored to retail data requirement
- s.Data Processi ng: Develop and optimize frameworks using DataFlow, DataProc, ensuring high-quality ingestion and transformatio
- n.Collaborati on: Work with data scientists, analysts, and engineers to integrate solutions supporting advanced analytics and A
- I.DevO ps: Manage and automate deployment pipelines for consistent system performanc
- e.Troubleshooti ng: Analyze and resolve data engineering issues, proactively improving reliabilit
- y.Governan ce: Document processes, maintain standards, and ensure compliance with organizational and client policie
s.You Will Ne
- ed10–15 years of professional experience in data engineering with strong focus on GC
- P.Expert-level knowledge in GCP Composer, BigQuery, BigTable, DataFlow, DataProc, Datastore, and DevOps toolin
- g.Advanced programming skills i n Pyth on and proficiency i n S Q
- L.Bachelor’s degree in Computer Science, Engineering, IT, or related fiel
- d.Strong problem-solving abilities and excellent communication skill
- s.Experience working i n retail data environmen ts or comparable data-intensive domain
s.Good to Have Skil
- lsGCP certifications (Google Professional Data Engineer, Google Cloud DevOps Engineer
- ).Familiarity wit h Dock er an d Kubernet e
- s.Experience with Java or Scala for data workload
- s.Knowledge o f machine learning workflo ws and pipeline integratio
- n.Exposure to agile methodologies and cloud security best practice
s.Why You Will Love This J
- obWork on cutting-edg e retail analyti cs project
- s.Benefit from a hybrid work model supporting work-life balanc
- e.Grow your expertise i n Google Clo ud while contributing to impactful AI-driven solution
Vacancy posted 5 hours ago
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