Guru Schools
Top Quals: 1. Data Architecture experience with AWS Database / Data Warehouse / Data Platforms (Kinesis, Glue, Redshift, S3,) - No interest with Azure or GCP 2. Hands-on experience with building AWS POCs for data solutions which include. - Moving legacy on-prem data platforms to the cloud - ETL / Data Modeling / Data Parsing - Data streaming / Realtime data transfer Responsibilities Creates and maintains overall data & analytics solutions for applications/products across multiple projects of medium complexity. Performs POC to establish standard data & analytics solution patterns that can be leveraged for multiple products and applications. Ensures that the design is consistent with the overall enterprise architecture. Responsible for securing approvals from review boards for the data & analytics solutions Partners with peer solution architects, engineering, product, operations teams to build feasible & scalable solutions. Researches and documents architecturally significant aspects/views of the systems
Required Technical Skills Minimum 8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms and applications. Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable). Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent. Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch). Minimum 4 years of experience with programming languages such as Node.js, Python, Java or Scala. Minimum 3 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis etc.. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm. Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.
Required Technical Skills Minimum 8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms and applications. Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable). Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent. Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch). Minimum 4 years of experience with programming languages such as Node.js, Python, Java or Scala. Minimum 3 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis etc.. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm. Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.