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.
- Strong knowledge of advanced SQL and data warehousing concepts, including

BigQuery.

- Have solid 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, etc.

- Comfortable using Azure DevOps or similar CI/CD tools, Git
- Building Docker images and deploying them to Production. Integrate Docker

container orchestration

- Framework using Kubernetes by creating pods, config Maps, and deployments using

terraform.

- Strong 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 (India)
🏢 TechBlocks
📍 India