Data Engineer - (Django Must- Big Data Platform)PayUfull-timeRequired skillsPythonOpen SourceAirflowAWSAzureback-endcloud computingcross functionaldata engineerDjangoDockerDynamoDBElasticsearchFlaskGCPKafkaKubernetesMySQLSnowflakeSparkSQLTerraformRESTfulAbout the role PayU Website: payu.com Job details: PAYU PAYMENTS PRIVATE LIMITED Role: Data Engineer – (Django Must- Big Data Platform)Company: PayULocation: Bangalore/Mumbai/GurgaonJob ResponsibilitiesBuilding, maintaining, and monitoring sustainable infrastructure with a focus on developing and maintaining high-volume, low-latency data platforms using latest opensource frameworks, highly available RESTful services, and back-end Cloud based/open source systems Execute day to day operation of the data platform to ensure top-notch performance of data platform systems for customer-facing applicationsWork on features to make the data Platform more robust and resilientDrive automation of application deployment for production environmentsIdentify and support areas for process and efficiency improvement within platform operationsTaking ownership of your projects, and have the work in small cross functional teams to drive projects to closureHighly collaborative with a strong belief in continuous improvement.Ability to stay focused and calm in a fast-paced environment.Requirements To Be Successful In This RoleBE/B-Tech/BS/Meng/MSc in computer science or a related technical field from top-tier colleges or equivalent practical experience2.5-5 years of experience working on platform infrastructure based on Cloud and open-source systems and automation.Must be very good with programming lang : PythonDjango/Flask (preferred, must be experienced in building APIs)Databases: SQL querying & db understanding (RDBMS: mysql, postgresql; Nosql: mongodb, elasticsearch, dynamodb)Familiarity with big data tools & distributed systems (spark, redshift, kafka)Cloud Computing (Any of AWS/Azure/GCP), preferred: AWSOrchestration: airflow, dockerGood To HaveMonitoring/Logging frameworks (ELK, Grafana)Scalable Compute solutions (Kafka, Snowflake)Workflow management libraries and toolsContainer orchestration systems like KubernetesCode-as-Infrastructure/Pipeline-as-Code (Terraform/Chef)Understanding and functional experience in Big Data Engineering practices: DataWarehousing, ingestion pipelines, ELT, data migration, QC Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.