BENGALURU · FULLTIME
Sr Data Engineer
Dynatrace
Bengaluru · onsite · Posted 23d ago
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Not disclosed6–8 yrsfulltimeBengaluru
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Section · 01
About this role
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
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
- 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 environment
- Experience with additional open-source ingestion frameworks and connectors
- Exposure to event-driven or telemetry-heavy architectures at scale
- 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
Sourced from foundit
Section · 02
Skills
DevopsAPI rate-limit handlingmicro-batchingS3-based lakehouse architecturesApache SparkDeployment AutomationApache KafkafivetranPythonIncremental LoadingSQLSnowflakeGITCi/Cd
Section · Company
About Dynatrace
Dynatrace
Software Product
1001-5000
employees
2005
21 years old
Waltham,Massachusetts
United States
₹17.9L PA avg
Avg at Dynatrace
About
A provider of software intelligence that enables organizations to manage cloud complexity and enhance digital transformation through automated observability.
Industries
Software ProductIT Services & Consulting
Employee ratings
5 reviews
3.8/ 5
Culture
3.8
Career growth
3.6
Work-life
3.4
Employees rate it well for
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