Data Pipeline Architect

5 days ago

Industrial Area, India Aeris Full time

About Aeris Communications Inc.For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 90 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth.Job SummaryAs a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures. You will work closely with data scientists, analysts, and software engineers to ensure the availability, integrity, and quality of data for analytical and operational needs.Location- Noida, 5 days working on-siteKey ResponsibilitiesDesign, develop, and maintain robust ETL pipelines to collect, process, and store data from multiple sourcesBuild and optimize data models for analytics, reporting, and operational needsImplement best practices for data governance, data quality, and data securityCollaborate with stakeholders to understand data requirements and translate them into technical solutionsIntegrate new data sources and expand the data platform capabilitiesMonitor and troubleshoot data workflows and infrastructure issuesMaintain documentation related to data architecture, data sources, and data flowsMinimum RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field3–6 years of proven experience working as a Data Engineer.Strong proficiency in SQL,Python, or ScalaExperience with big data technologies, such as Hadoop, Spark, Kafka, etc.Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native data solutionsExperience with data warehousing (e.G., Redshift, Snowflake, BigQuery)Good understanding of ETL concepts, data modeling, and data architectureExperience with workflow orchestration tools (e.G., Airflow, Luigi)Excellent problem-solving skills and attention to detailStrong communication and collaboration skillsPreferred RequirementsExperience in real-time data processing and streamingKnowledge of machine learning workflows and MLOpsExposure to DevOps practices and CI/CD pipelines for data projects

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