Job Description

Role: AWS Solution Architect

Location: San Francisco, CA

Job Purpose:

• Designing Solution architecture, and work on Data Ingestion, Preparation, and Transformation. Debugging the production failures and identifying the solution.
• Developing efficient frameworks for development and testing using (AWS Dynamo DB, EKS, Kafka, Kinesis/Spark/Streaming/Python, etc.) to enable a seamless data ingestion process onto the AWS cloud platform.
• Enabling Data Governance and Data Discovery Platform
• Building data processing framework using Spark, Databricks, and python
• Exposure to Data Security Framework on the cloud
• Exposure to Data Pipeline Automation using DevOps tools
• Exposure to Job Monitoring framework along with validations and automation
• Exposure to handling structured, Unstructured, and Streaming datasets.

Must have - Technical & Soft Skills

• Solid hands-on and Solution Architecting experience in Big-Data Technologies (AWS preferred)
• Hands-on experience in: AWS Dynamo DB, EKS, Kafka, Kinesis, Glue PySpark, EMR PySpark
• Hands-on experience with programming languages like Python, Scala with Spark.
• Good command and working experience on Hadoop/Map Reduce, HDFS, Hive, HBase, and No-SQL Databases
• Hands-on working experience on any of the data engineering/analytics platforms (Hortonworks/Cloudera/ MapR/ AWS), AWS preferred
• Hands-on experience in Data Ingestion Apache Nifi, Apache Airflow, Sqoop, and Ozzie
• Hands-on working experience in data processing at scale with event-driven systems, message queues (Kinesis/Kafka/Flink/Spark Streaming)
• Hands-on working Experience with AWS Services like EMR, Kinesis, S3, CloudFormation, Glue, API Gateway, Lake Foundation
• Hands-on working Experience with AWS Athena
• Data Warehouse exposure on Apache Nifi, Apache Airflow, Kylo
• Operationalization of ML models on AWS (e.g. deployment, scheduling, model monitoring etc.)
• Feature Engineering/Data Processing to be used for Model development
• Experience gathering and processing raw data at scale (including, writing scripts, web scraping, calling APIs, writing SQL queries, etc.)
• Experience building data pipelines for structured/unstructured, real-time/batch, events/synchronous/ asynchronous using MQ, Kafka, Steam processing
• Hands-on working experience in analyzing source system data and data flows, working with structured and unstructured data
• Must be very strong in writing SQL queries
• Strengthen the Data engineering team with Big Data solutions
• Strong technical, analytical, and problem-solving skills
• Strong organizational skills, with the ability to work autonomously as well as in a team-based environment
• Pleasant Personality, Strong Communication & Interpersonal Skills

Certifications (Preferred)

• AWS Certified Solution Architect – Associate
• AWS Certified Solution Architect – Professional

Nice to have

• Scripting: Unix or Shell scripting
• Exposure to various ETL and Business Intelligence tools
• Experience in data warehouse design and best practices
• A strong background in troubleshooting and technology support will be beneficial.

Educational Qualification

• A bachelor's degree in computer science, computer engineering, or a related discipline is required to work as a technical lead
• Certification on AWS
• Individuals in this field can further display their leadership skills by completing the Project Management Professional certification offered by the Project Management Institute.

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