Tech Lead – Data Engineering
[x]cube LABS (company site, opens in a new tab)8–15 yrsHyderabadOn-siteDirect career pageEst. 25–40 LPA
Posted on 26 Sept
Reach people at [x]cube LABS
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 [x]cube LABS 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
- Lead design and development of scalable data pipelines and cloud-based data architectures using platforms like Snowflake, Databricks, Redshift, or BigQuery.
- Manage and mentor a team of data engineers to deliver high-quality data solutions aligned with business needs.
- Optimize data warehouses and ensure best practices in code quality, performance, and data security while troubleshooting complex data issues.
Minimum Requirements
- 8 to 15 years of work experience in data engineering or related roles.
- Strong hands-on expertise with at least one of Snowflake, Databricks, Amazon Redshift, or BigQuery.
- Proficiency in SQL, Python, Spark, and cloud platforms such as AWS, Azure, or GCP.
- Graduation degree from any discipline.
Ideal Candidate Profile
- Experienced leader with a track record of managing data engineering teams and delivering end-to-end data platform solutions.
- Strong technical skills in cloud-native data technologies and data warehousing with practical knowledge of CI/CD for data projects.
- Comfortable working collaboratively with cross-functional teams and handling stakeholder communication in an agile environment.