Sr SA - Analytics

Job Description

The candidate will have the technical depth and domain experience to easily communicate the benefits of Analytics and Data Lake platforms and frameworks in the AWS cloud to IT architects, engineering teams and senior management. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex organisations. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed IT infrastructure services and applications, and have a background that enables them to create scalable programs that apply holistic approaches across different organizations to solve common problems.Roles and Responsibilities Working with customers development and data science teams in India to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS Analytics Services including Big Data (EMR/Glue), search/log analytics (Elasticsearch), Data Warehousing (Redshift), streaming (Kinesis and Kafka), visualization/BI (Quicksight), and Data Lake (Glue, Lake Formation and Athena) and the other Analytics services. Engage in senior level customer meetings to drive AWS Analytics Services adoption in India. Diving into customer s challenges and executing strategies on how our services can help address and resolve these challenges. Partner with SAs, Business Development and Service teams in India to accelerate customer adoption in India for Analytics on AWS. Thought Leadership: Evangelize AWS Analytics services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. Act as a technical liaison between customers and the AWS Analytics services teams in India to provide customer driven product improvement feedback. Develop and support an AWS internal community of Analytics related subject matter experts in India.For the right candidate, the location can be anywhere within India and travel is part of the role., Basic qualifications: 3+ years of experience in design/implementation/consulting for Business Analytics, Dashboarding, Big Data Processing, Data Warehousing solutions 3+ years of experience with one or more Big Data tools such as Apache Hadoop, Spark, Presto, Hive, Pig, Kafka, AirFlow 5+ years professional experience in software development in languages related to Analytics like Python or R or SQL. Experience working with RESTful API and general service-oriented architectures. 3+ years of experience in technical architecture, design, deployment and operations for Analytics platforms, pipelines, standards, protocols and devices 12+ years of total experience in IT/ITES environment Preferred qualifications: Graduate degree in a highly quantitative field (Computer Science, Analytics, Operations Research, Statistics, Mathematics, etc.). 5+ years of industry experience in creating data analytics platform and automated pipelines Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships. Consulting experience and track record of helping customers with their AI needs Publications or presentation in recognized Big Data Processing, Data Warehousing, Analytics, Data Pipeline journals/conferences. Experience with AWS services related to Analytics, particularly Amazon S3, Amazon LakeFormation, AWS Glue, AWS Kinesis, Amazon EMR, Amazon Redshift, QuickSight, Amazon Athena etc. Able to write production level code, which is well-written and explainable. Experience working distributed data processing models. Experience handling terabyte size datasets. Track record of diving into data to discover hidden patterns. Familiarity with using data visualization tools Knowledge and experience of writing and tuning SQL. Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format. Experience giving public presentations.Experience in Public Sector in India is preferred but not mandatory.

Keyskills :
data scienceamazon s3it infrastructure servicesbig datawhite papersuse casessubject matter expertslife sciencesvoice of the customer