Responsibilities
Use the latest technology to build data pipelines and integrate machine learning models
Build and expand our data platform
Develop applications that run on a Google Cloud-based infrastructure

Qualifications
5+ years of experience in Big Data and Data Engineering
Solid knowledge of advanced SQL and data warehousing concepts, including BigQuery
Robust programming skills in SQL, Python/PySpark etc.
Experience in the design and development of data pipelines, ETL/ELT processes
Experience in one of the public cloud providers GCP, Azure, AWS
Experience with relational SQL and NoSQL databases, including Postgres and MongoDB
Experience with workflow management tools: Airflow, AWS Data Pipeline, Google Cloud Composer
Comfortable using Azure DevOps or similar CI/CD tools, Git
Building Docker images and deploying them to production. Integrate Docker container orchestration with Kubernetes by creating pods, ConfigMaps, and deployments using Terraform
Robust problem solving and communication skills
Bachelor's or an advanced degree in Computer Science or related engineering discipline
Optionally have experience with C#, .NET Core, and microservices

📌 Senior Data Engineer Gurugram (India)
🏢 TechBlocks
📍 India