Senior Data Engineer

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About the Role

Big Data Engineer

Key Responsibilities

• Design, build, and maintain robust data pipelines (batch and streaming) from diverse data sources.
• Ensure high data quality, reliability, and availability throughout the pipeline lifecycle.
• Collaborate with cross-functional teams to define technical strategy and deliver data-driven solutions.
• Participate in code reviews, testing, and deployment to uphold engineering best practices.
• Own and manage smaller components of the data platform with end-to-end responsibility.
• Identify and resolve performance bottlenecks to optimize data pipelines.
• Proactively explore and adopt new technologies, contributing as a senior individual contributor across multiple products and features.

Required Qualifications

• 5–7 years of experience in Big Data or Data Engineering roles.
• Strong programming skills in

  Java or Scala

  (Python acceptable with solid Big Data experience).
• Hands-on experience with distributed processing and streaming frameworks such as

  Apache Spark, Kafka, Flink

  .
• Experience with orchestration tools like

  Airflow

  (or equivalent).
• Familiarity with cloud platforms (

  AWS, GCP, Azure

  ) and services such as

  S3, Glue, BigQuery, EMR

  .
• Solid understanding of data structures, algorithms, and object-oriented programming.
• Proven ability to write clean, efficient, and maintainable code.

Tooling & Ecosystem

• Proficiency with version control (e.g., Git) and CI/CD tools.
• Experience with data orchestration frameworks (Airflow, Dagster, etc.).
• Understanding of common file formats:

  Parquet, Avro, ORC, JSON

  .
• Basic exposure to containerization (

  Docker

  ) and infrastructure-as-code (

  Terraform

  a plus).