Senior Big Data Engineer

3 days ago

Gurugram, India PAR Technology Full time

Title

Senior Big Data Engineer

Reporting

Manager, Big Data

Job location

Jaipur/Gurugram

About the role

Sr Big Data Engineer is critical in leading Punchh’s data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.

This role requires close collaborations with data, engineering, and product organizations. He/she should be not only an outstanding technical expert but also an inspirational leader in establishing Punchh’s best data engineering vision.

What You’ll Do

  • Optimize the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using big data technologies.
  • Identify, design, and implement internal process improvements, e.g. automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Manage our internal data pipelines that support product, marketing, and our external clients.
  • Represent the company’s expertise in advanced technologies in media outlets such as client interactions, conferences, blogs, and interviews.
  • Help senior leadership define PAR/Punchh’s long-term strategy in advanced technology. Advocate across the company the best practices for data usage.

What You’ll Need

  • 5-8 years of experience as a data engineering professional, developing scalable big data solutions.
  • Advanced degree in computer science, engineering, or other related fields.
  • Strong problem-solving skills with demonstrated rigor in maintaining a complex data pipeline.
  • Extensive knowledge of AWS cloud services and Hadoop technologies.
  • Must have expierence in Pyspark, Databricks,
  • AWS/Azure (Preferred – AWS
  • Kafka and Sparks Streaming are good to have.
  • Excellent programming background in Python, and PySpark.
  • Extensive experience in using the above to develop data products.
  • Experience with big data processing, e.g. Hadoop (EMR), relational (Postgres, MySQL), NoSQL (MongoDB, Redis).
  • Experience in building real-time data pipelines using Kafka, Spark, or similar stacks on the cloud.
  • Experience with Docker and CI-CD tools (Jenkins/Jfrog)
  • Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.

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