Description

You own the design and implementation of data infrastructure, ensuring scalable pipelines and robust ETL workflows.

This role is on-site.

Responsibilities

• Design and implement scalable data pipelines for data lakes and warehouses.
• Build and optimize ETL workflows using Airflow, Flink, and Azkaban.
• Drive data quality, automation, and performance improvements across systems.
• Lead architecture decisions and conduct thorough code reviews.
• Mentor junior engineers and contribute to technical leadership.

Required Skills

• 8+ years in data or software engineering.
• Strong proficiency in Python and SQL.
• Experience with Databricks and Spark.
• 5+ years using workflow tools like Airflow and Flink.
• Cloud experience on AWS or GCP.
• Familiarity with scalable systems and ETL processes.
• Ability to communicate technical concepts clearly.

Preferred Skills

• Experience with BI tools such as Tableau, Superset, or Looker.
• Knowledge of CI/CD, Docker, Kubernetes, or Terraform.

Key Skills

Education

Any Gradute