AWS Solution Architect

Role: AWS Solution Architect

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 Dev Ops 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 Py Spark

• 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, Cloud Formation, 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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