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Zeta Global, a publicly traded AI-powered marketing technology company (NYSE: ZETA), is seeking a Senior Engineer for its Data Platform team in Bangalore. You will build and operate the data infrastructure supporting Zeta's products, analytics, machine learning, and AI systems.
This is a broad platform role with ownership across Lakehouse architecture, distributed compute, data quality, governance, lineage, security, access controls, and operational systems. You will contribute across the platform as priorities shift, working with data engineers, data scientists, infrastructure teams, and product teams to make data dependable, discoverable, secure, and cost-effective.
Key responsibilities include:
- Building and operating Lakehouse, Spark, and distributed data-processing systems
- Improving performance, reliability, cost, and operational visibility of platform workloads
- Developing capabilities for data quality, governance, lineage, metadata, discoverability, security, and access control
- Building data context for trusted reporting, ML models, and AI agents
- Evaluating compute and query engines for read-heavy workloads
- Assessing real-time OLAP technologies and identifying production use cases
- Improving deployment, observability, incident response, developer tooling, and platform operations
- Partnering with data scientists and engineers to enhance their platform experience
- Contributing to open-source projects including Spark, Iceberg, and Airflow
- Mentoring engineers through code reviews, pairing, design discussions, and knowledge-sharing
The team develops tooling for type-safe, testable data pipelines and operates Spark workloads on dynamically sized Hadoop clusters backed by EC2 Spot instances.
Requirements:
- 7+ years of software engineering experience
- Strong experience in Python, Scala, Java, or another JVM language
- Experience with Spark or another distributed data-processing framework
- Experience building or operating production data platforms, backend systems, or distributed systems
- Familiarity with at least one of: Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP
- Working knowledge of AWS services (EC2, S3, Athena, IAM)
- Experience improving production reliability through monitoring, alerting, deployment automation, and incident response
- Strong analytical, communication, and collaboration skills
- Plus: experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot
