Data Engineer

Ovii's Interpretation of the Role

We are looking for a Data Engineer to design and operate high‑performance batch and streaming pipelines, optimize ETL/ELT workflows, and manage large‑scale analytical databases. The role works closely with Product, Analytics, and Backend teams to deliver reliable data‑driven insights.

Role Snapshot

• Build batch & streaming pipelines
• Own ClickHouse analytical clusters
• Optimize SQL & ETL workloads
• Develop data models for reporting
• Collaborate across product and analytics

Must-Have Requirements

• SQL query optimization
• ClickHouse or other OLAP database
• PostgreSQL
• Java or Python programming
• Apache Kafka
• Distributed data processing frameworks
• Cloud platforms (AWS/GCP/Azure)
• Docker
• Kubernetes
• Monitoring/observability tools
• Data Engineering
• Batch and streaming pipelines
• ETL/ELT workflow development
• SQL optimization
• Cloud platform usage

Nice-to-Have Signals

• Looker or other BI platforms
• Apache Spark or Dataproc
• Airflow or other workflow orchestration tools
• Advertising technology knowledge (DSP, RTB, Attribution, Campaign Reporting)
• BI platform usage
• Large‑scale analytical systems
• Advertising technology

Work Setup

• Location: Noida, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and implement scalable batch and streaming data pipelines
• Develop and tune ETL/ELT workflows using distributed processing frameworks
• Own and optimize ClickHouse clusters for large analytical workloads
• Create efficient data models for reporting and dashboarding
• Build ingestion pipelines from MongoDB, PostgreSQL, Kafka, APIs and other sources
• Improve performance of large‑scale SQL queries and analytical workloads
• Implement monitoring, health checks, and anomaly‑detection systems
• Partner with Product, Analytics, and Backend teams to deliver reliable insights

Good Fit If You Have

• Experience with cloud platforms (AWS, GCP, Azure)
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Interest in BI tools such as Looker