Data Engineer/Quality Engineer
21Tech (company site, opens in a new tab)3+ yrsOn-siteDirect career pageEst. 8–16 LPA
Posted on 24 Sept
Reach people at 21Tech
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at 21Tech you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT data pipelines using Informatica, Airflow, and Dataproc.
- Manage and develop data warehouse solutions on Google BigQuery to ensure data accuracy and accessibility.
- Implement CI/CD pipelines for data workflows using DevOps tools like Dataform and GitHub, collaborating with data scientists and business stakeholders.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field.
- Minimum 3 years of professional experience in a data engineering role.
- Proficient in SQL with extensive experience on Google BigQuery.
- Hands-on experience with Databricks, Dataproc, Informatica, Airflow, Python, and CI/CD tools like Dataform and GitHub.
Ideal Candidate Profile
- Experienced in building end-to-end data infrastructure supporting analytics and business intelligence in SaaS environments.
- Operates effectively in collaborative settings interfacing with data scientists, analysts, and business teams.
- Has practical expertise integrating DevOps practices into data workflows to enhance pipeline reliability and automation.