qode.world · 3 days ago
AWS Solution Architect
qode.world is seeking an AWS Solution Architect to design solution architecture and work on data ingestion, preparation, and transformation. The role involves developing frameworks for efficient data processing on the AWS cloud platform and ensuring data governance and security.
Artificial Intelligence (AI)Human ResourcesInformation Technology
Responsibilities
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
Qualification
Required
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
A bachelor's degree in computer science, computer engineering, or a related discipline is required to work as a technical lead
Certification on AWS
Preferred
AWS Certified Solution Architect – Associate
AWS Certified Solution Architect – Professional
Company
qode.world
SaaS, AI Agent in Recruitment, HR Tech
Funding
Current Stage
Growth StageCompany data provided by crunchbase