Truecaller - Senior Platform Data Engineer - ETL Pipeline

3 weeks ago

Bengaluru, Karnataka, India Hirist Full time

Note : If shortlisted, you will be invited for initial rounds on 13th September'25 (Saturday) in Bengaluru

As a Senior Platform Data Engineer, you will play an important role in the development of data
pipelines, frameworks and models to support the understanding of our users and making better product decisions.

You will contribute to empowering the product teams with a complete self-serve analytics

platform by working on scalable and robust solutions while collaborating with data engineers, data
scientists and data analysts across the company.

What you bring in :

- 6+ years of hands-on experience in data engineering and large-scale distributed systems

- Proven expertise in building and maintaining complex ETL/ELT pipelines

- Deep knowledge of orchestration frameworks (e.g., Airflow), and workflow optimization

- Strong cloud infrastructure experience (GCP preferred; AWS or Azure also relevant)

- Expert-level programming in Python or Scala; solid understanding of Spark internals

- Experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure as code

- Familiarity with managing self-hosted tools like Spark or Airflow on Kubernetes

- Experience managing data warehouse in BigQuery or Redshift

- Strong communication skills and a proactive, problem-solving mindset

The impact you will create :

- Design , build and optimize the data ingestion pipeline to reliably deliver billions of events
daily in defined SLA

- Lead initiatives to improve scalability , performance and reliability

- Provide support for all product teams in building and optimizing their complex pipelines

- Identify and address pain points in the existing data platform; propose and implement high-leverage improvements

- Develop new tools and frameworks to streamline the data platform workflows

- Drive adoption of best practices in data and software engineering (testing, CI/CD, version
control, monitoring)

- Work in close collaboration with data scientists and data analysts to help support their work
in production

- Support production ML workflows and real-time streaming use cases

- Mentor other engineers and contribute to a culture of technical excellence and knowledge sharing

It would be great if you also have :

- Working with messaging systems like Kafka , Redpanda

- Experience with real-time data streaming platforms (e.g., Flink, Spark Familiarity with ML platforms or MLOps workflows

(ref:hirist.tech)

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