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Senior Data Pipeline Engineer

2 weeks ago

Chennai, Tamil Nadu, India Cloud Destinations Full time

**Job Overview**

We're looking for an experienced Data Engineer to join our team at Cloud Destinations. As a key member of our data engineering group, you'll be responsible for designing, building, and maintaining our data pipelines.

In this role, you'll work closely with our data science team to deploy machine learning model outputs into CEPs for recommendations and personalizations. You'll also collaborate with other data engineers, data scientists, and product managers to implement a shared technical vision.

Key Responsibilities:

  1. Design and build efficient batch and streaming data pipelines.
  2. Work with data scientists to deploy machine learning model outputs into CEPs for recommendations and personalizations.
  3. Collaborate with other data engineers, data scientists, and product managers to implement a shared technical vision.
  4. Participate in the entire software development lifecycle, from concept to release.
  5. Contribute to shared data engineering tooling & standards to improve productivity.
  6. Support, monitor, and optimize current and future data infrastructure and platform.
  7. Provide technical guidance and mentorship to junior engineers.
  8. Evaluate technologies and conduct proof-of-concepts.

Requirements:

  • A degree (B or higher) in Computer Science or a related discipline or relevant professional experience.
  • 5+ years of software development experience designing scalable & automated software systems.
  • Experience in processing structured and unstructured data into a form suitable for analysis and reporting.
  • Experience with data modelling, batch data pipeline design, and implementation.
  • Strong software development skills with high proficiency in Python/PySpark or Scala.
  • High proficiency in SQL.
  • Experience with data processing frameworks such as Apache Spark (we use Databricks).
  • Experience with data transformation tools such as dbt Cloud.
  • Experience in cloud-based infrastructures such as AWS or GCP.
  • Exposure to orchestration platforms such as Airflow (we use Astronomer).
  • Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team.