Urgent opening for AWS Architect Cloud and Data Engineering Competency Center

For a Global IT Consulting orgn. having operations globally, employs 1000+ people.

Location: Chennai, Bangalore, Pune,

CTC: 30-40 lacs

Send the resume to hariharan.hr20@gmail.com

Pl go thru the JD

Hariharan

9840933607

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Key Result Areas and Activities:

• Thought Leadership Build and share experience and evidence based thought leadership in the AWS, Cloud and Big Data domain through various channels such as Yammer blogs, white papers, webinars, events, and conferences. Provide inputs on creating and enhancing enduring solutions for Practice.
• Solutions and Sales Support Support pre-sales activities including conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, and supporting sales and marketing enablement for AWS, Cloud and Big Data related technologies. Lead the solution development for Practice.
• Consulting for New and Existing Clients – Provide advisory consulting to new and existing customers, support delivery hand-offs, address unmet needs, and manage client expectations for their AWS, Cloud and Big Data technologies.
• Share and Build Expertise – Develop and share expertise in AWS, Cloud and Big Data technologies and actively mine the experience and expertise in the organization for sharing across teams and clients in the firm. Lead and support the AWS Cloud COE with organized meeting cadence. Create and maintain a vibrant Cloud technology lab as a hot bed of technological innovation. Suggest ways and guide the COE as a capability hub for new technologies with due consideration of their usability. Participate and contribute in other cloud and big data center of excellences.
• Nurture and Grow Talent – Provide support for recruitment, coaching and mentoring, and building practice capacity in the firm in AWS, Cloud and Big Data technologies.

Work and Technical Experience:

• Experience in data and analytics domain
• Experience in designing AWS cloud architecture and operationalizing solutions around monitoring, alerting, logging etc.
• In-depth knowledge of key AWS services for data integration, BI and processing services including but not limited to AWS EMR, AWS Glue, AWS Athena, AWS QuickSight, AWS Glue Catalog, AWS Lambda, AWS Kinesis Stream and AWS Kinesis Firehose.
• Knowledge of AWS storage services such as AWS EBS, AWS S3, AWS RedShift, AWS DynamoDB, AWS Aurora, AWS ElastiCache etc., Snowflake (good to have)
• Knowledge on AWS security components such as AWS IAM, KMS, WAF, Shield, HSM etc.
• Knowledge on AWS monitoring tools such as AWS CloudWatch, AWS CloudTrail etc.
• Knowledge of Big Data ecosystems such as Hadoop / Hive, HDFS, Spark, YARN, ZooKeeper, HBase etc.
• Knowledge on Apache Kafka and Confluent Kafka for Real-Time data pipeline
• Experience with programming languages such as Python, Scala, and Java
• Experience in enabling DevOps automation for AWS with appropriate security and privacy considerations
• Knowledge of configuring and provisioning networks and infrastructure in cloud
• Expertise in developing ETL workflows comprising complex transformations like SCD, deduplication, aggregations, etc. Experience with ETL tools like Informatica and Talend will be a plus
• Knowledge of integrating Active Directory with other services
• Knowledge of containerization services such as Dockers and its orchestration through Kubernetes. Also knowledge on AWS ECS and EKS.
• Proven ability to work on multiple requirements, design, and development approaches and methodologies (agile, iterative, waterfall, etc.)
• Pre-sales experience will be an added advantage

Qualifications:

• Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus)
• Demonstrated continued learning through one or more technical certifications or related methods
• At least 14 years of IT experience; Minimum 3 - 5 years of experience on AWS related projects

Qualities:

• Self-motivated and focused on delivering outcomes for a fast growing team and firm
• Able to communicate persuasively through speaking, writing, and client presentations
• Able to consult, write, and present persuasively
• Able to work in a self-organized and cross-functional team
• Able to iterate based on new information, peer reviews, and feedback
• Able to work with teams and clients in different time zones
• Research focused mindset