Job
Description
Inviting applications for the role of Lead Consultant-Data Engineer, Azure+Python! Responsibilities . Design and deploy scalable, highly available, and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) . Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness. . Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms. . Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc) for high availability with low cost . Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc. . Build data pipelines by building ETL processes (Extract-Transform-Load) . Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data. . Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs . Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements . Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems . Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security . Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way . Coordinate with release management, other supporting teams to deploy changes in production environment Qualifications we seek in you! Minimum Qualifications . Experience in designing, implementing data pipelines, build data applications, data migration on AWS . Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift . Experience of Databricks will be added advantage . Strong experience in Python and SQL . Strong understanding of security principles and best practices for cloud-based environments. . Experience with monitoring tools and implementing proactive measures to ensure system availability and performance. . Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. . Strong communication and collaboration skills to work effectively with cross-functional teams. Preferred Qualifications/ Skills . Master&rsquos Degree-Computer Science, Electronics, Electrical. . AWS Data Engineering & Cloud certifications, Databricks certifications . Experience of working with Oracle ERP . Experience with multiple data integration technologies and cloud platforms . Knowledge of Change & Incident Management process . . . . .
