**Your role at Dynatrace** We are seeking an experienced **Data Engineer** to design, build, and optimize **scalable data ingestion pipelines** for **product telemetry and enterprise business applications data** . This role operates in a fast‑paced environment, rapidly prototyping data pipelines to enable **data exploration, analytics, and downstream consumption** . **Responsibilities** + Design and implement modern **data ingestion pipelines** for business systems data using **Fivetran** , **Python and Bulk APIs** , **S3-based lakehouse architectures** , and **streaming ingestion** (Kafka, Spark) + Build end-to-end automated pipelines from source systems to **Snowflake** , ensuring reliability, scalability, and observability + Apply **advanced SQL** in Snowflake for transformation, standardization, and preparation of analytics-ready datasets + Optimize ingestion performance for **large-scale, high-volume datasets** using API rate-limit handling, micro-batching, and **incremental loading / CDC** + Implement **DevOps and CI/CD practices** for data pipelines, including version control and deployment automation + Partner with analysts, SMEs, and platform teams to **rapidly prototype pipelines** supporting exploration and evolving requirements + Monitor, troubleshoot, and optimize ingestion jobs to ensure **data freshness, accuracy, and performance** **What will help you succeed** + **6+ years** of hands-on experience in **data engineering and ingestion automation** in cloud or hybrid environments + Proven experience ingesting **business application data** (CRM, ERP, financial, consumption, renewals systems) + Advanced proficiency with **Python** and **Fivetran** (or similar ETL/ELT tool) for pipelines, automation, orchestration,



and validation + Expertise with **Kafka, Spark** , and **S3 / lakehouse-style** storage architectures + Strong proficiency with **Snowflake,** ingestion, transformation, and performance optimization + Deep understanding of **ingestion optimization,** rate limits, micro-batching, incremental loads, and **CDC** + Experience applying **DevOps / CI/CD** practices to data pipelines + Ability to work independently and **deliver solutions rapidly** in a fast-paced, iterative workplace Desirable: + Experience with additional **open-source ingestion frameworks and connectors** + Exposure to **event-driven or telemetry-heavy architectures** at scale **Why you will love being a Dynatracer** + Dynatrace is a leader in unified observability and security. + We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. + Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. + You'll get to work at the forefront of innovation with Dynatrace Intelligence, the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next, automatically. + Over 50% of the Fortune 100 companies are current customers of Dynatrace Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law.

📌 Sr Data Engineer (Bengaluru)
🏢 Dynatrace
📍 Bengaluru