Sr Data Engineer

Dynatrace · Bengaluru

  • Experience6–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted25 Sept 2026
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About Dynatrace

Dynatrace is hiring in Bengaluru in technology software. This role looks for around 6+ years of experience.

Skills

  • Fivetran
  • Python
  • Bulk APIs
  • Amazon S3
  • Kafka
  • Apache Spark
  • Snowflake
  • SQL
  • DevOps
  • CI/CD
  • Change Data Capture

The role

A data engineer at a unified observability software company designs data ingestion pipelines using Python, Fivetran, and Snowflake for telemetry and enterprise application data. The work also applies Kafka and Spark to scalable streaming pipelines and lakehouse architectures.

Full job description

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 observabilityApply advanced SQL in Snowflake for transformation, standardization, and preparation of analytics-ready datasetsOptimize ingestion performance for large-scale, high-volume datasets using API rate-limit handling, micro-batching, and incremental loading / CDCImplement DevOps and CI/CD practices for data pipelines, including version control and deployment automationPartner with analysts, SMEs, and platform teams to rapidly prototype pipelines supporting exploration and evolving requirementsMonitor, 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 environmentsProven 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 validationExpertise with Kafka, Spark, and S3 / lakehouse-style storage architecturesStrong proficiency with Snowflake, ingestion, transformation, and performance optimizationDeep understanding of ingestion optimization, rate limits, micro-batching, incremental loads, and CDCExperience applying DevOps / CI/CD practices to data pipelinesAbility to work independently and deliver solutions rapidly in a fast-paced, iterative environment

Desirable

Experience with additional open-source ingestion frameworks and connectorsExposure 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