Data Architect

Overview

Design, develop and optimize scalable data pipelines and cloud-native data solutions on Google Cloud Platform (GCP), including ETL/ELT frameworks, Infrastructure as Code with Terraform, CI/CD practices and high-quality data products.

What you'll do

• Design, develop and optimize scalable data pipelines and cloud-native data solutions on GCP.
• Build robust ETL/ELT frameworks.
• Implement Infrastructure as Code using Terraform.
• Enable CI/CD practices.
• Deliver high-quality data products.

What you'll need

• Overall 9+ years of experience in IT.
• Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes.
• Experience in data pipeline development and tooling, e.g. Glue, Databricks, Synapse, or Data process.
• Experience with both relational and NoSQL databases: PostgreSQL, DB2, MongoDB.
• Excellent problem-solving, analytical and critical thinking skills.
• Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail.
• Ability to communicate with both technical and non-technical colleagues, to derive and translate technical requirements from business needs.

Nice to have

• Experience working as a Data Engineer and/or in cloud modernization.
• Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes.
• Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization.
• Cloud platform certification, e.g. AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
• Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio.
• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology.
• Preferred skills: DBT, GCP, BigQuery, Lead Data Engineer, Terraform, CI/CD, DevOps, SQL, Spark, Apache Beam, Hive, Cloud Run, Iceberg, Hudi, Avro, Parquet, Data Mesh, Data Modeling, ETL, ELT, Data Pipeline, Google Cloud.

Details

• Location: Bangalore, Karnataka, India.
• Hybrid-friendly work environment.