Job Description

Description Understand customer requirements and render those as architectural models that will operate at large scale and high performance. Where customers have architectures prepared, validate them against non-functional requirements and finalize the build model. - Work alongside customers to build data management platforms using Elasticn Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Lake Formation, S3, AWS Glue, DynamoDB, ElastiCache and the Relational Database Service (RDS) - Well experience in Python Programming Language & - Experienced in Designing and implementing micro service architecture of Python based applications - Well experience on other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS. - Conversion of Hive SQL to AWS Glue based sql. - Security of EMR cluster using KMS keys or customer managed keys - Render working, high performance data management solutions, as CloudFormation and reusable artifacts for implementation by the customer. Bootstrap using user data scripts will be added advantage - Prepare architecture and design briefs that outline the key features and decision points of the application built in the Data Lab - Work with customers to advise on changes as they put these systems live on AWS - Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community - Provide thought leadership and required engineering skills for delivery team Requirements - Understand customer requirements and render those as architectural models that will operate at large scale and high performance. Where customers have architectures prepared, validate them against non-functional requirements and finalize the build model. - Work alongside customers to build data management platforms using Elasticn Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Lake Formation, S3, AWS Glue, DynamoDB, ElastiCache and the Relational Database Service (RDS) - Well experience in Python Programming Language & - Experienced in Designing and implementing micro service architecture of Python based applications - Well experience on other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS. - Conversion of Hive SQL to AWS Glue based sql. - Security of EMR cluster using KMS keys or customer managed keys - Render working, high performance data management solutions, as CloudFormation and reusable artifacts for implementation by the customer. Bootstrap using user data scripts will be added advantage - Prepare architecture and design briefs that outline the key features and decision points of the application built in the Data Lab - Work with customers to advise on changes as they put these systems live on AWS - Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community - Provide thought leadership and required engineering skills for delivery team Preferences Jenkins, Google Cloud Job Responsibilities IdentifyDevelopment requirements from SRS. Review function and design specifications to ensure a full understanding of individual deliverables. Clear communication (written and verbal). Ability to provide clear and concise written code. Excellent multi-tasking skills. Strong teamwork and interpersonal skills. Diligent and high attention to detail. Strong analytical, problem-solving, and learning skills. Ability to adapt quickly to change in a fast-paced environment. We Offer Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

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