Senior Data Engineer
LiveRamp
- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- Python
- Airflow
- AWS
- Azure
- BigQuery
- communication skills
- cross-functional
- data modeling
- data science
- data solutions
- ETL
- GCP
- Google Cloud
- product management
About the role
LiveRamp
Website:
liveramp.com
Job details:
You will:
- Contribute to the design and maintenance of data pipelines that support business and product decision-making."
- Support the reliability and performance of data workflows across FiveTran, DBT, and Google Cloud (BigQuery).
- Contribute to team-wide adoption of best practices for ETL and data automation with a focus on high data quality and system resilience.
- Administer and optimize data platforms, monitoring data systems for efficiency, scalability, and cost-effectiveness.
- Leverage frameworks and tools that support data pipelines to improve the reliability and observability of our data ecosystem.
- Partner with cross-functional teams (Data Science, Analytics, Engineering) to ensure that data solutions meet organizational needs.
- Mentor and onboard other engineers, contributing to shared standards and technical excellence.
Measures of success
- :Build and support reliable, automated data pipelines with minimal downtime and SLAs consistently met
- .Demonstrate improvements in data platform efficiency and scalability metrics
- .Adoption of best practices and data standards across teams
.
Your team will
- : Build and maintain LiveRamp’s data infrastructure, enabling efficient, secure, and high-quality data flow across system
- s.Drive collaboration across engineering and analytics teams to support data-driven initiative
- s.Tackle large-scale data challenges that impact multiple business domains and customer-facing system
s.
About yo
- u: 5+ years of experience in Data Engineering or a related technical ro
- le.Deep expertise in data modeling, ETL/ELT architecture, and S
- QL.Proficiency in Python for data transformation, automation, and tooli
- ng.Hands-on experience with modern data stack tools such as DBT, FiveTran, and Airflow (or similar ETL orchestration system
- s).Experience with at least one major cloud data platform (e.g., GCP BigQuery, AWS Redshift, Azure Synapse, or Snowflak
- e).Understanding of data reliability, governance, and distributed computi
- ng.Experience supporting data platforms (access, cost optimization, monitorin
- g).Excellent communication skills and ability to work cross-functionally with technical and non-technical partne
- rs.A self-starter who thrives in fast-paced, evolving environmen
ts.
Preferred Ski
- lls:Hands-on experience with Google Cloud Platform (BigQue
- ry).Experience with PySpark or distributed data processing framewo
- rks.Experience building custom data frameworks or automation tool
- ing.Exposure to data product management and data observability platfo
rms.
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