Description

You will lead the architecture and implementation of scalable data pipelines and storage solutions.

Responsibilities

  • Design and implement scalable data pipelines and manage data storage solutions like databases and data lakes.
  • Collaborate with data scientists and analysts to ensure data availability and quality.
  • Enforce data governance, security, and compliance with industry standards.
  • Establish and update disaster recovery procedures.
  • Mentor junior data engineers and guide technical best practices.

Required Skills

  • 5+ years of experience in data engineering.
  • Proficiency in Python and SQL.
  • Experience with data warehousing solutions such as Snowflake or Google BigQuery.
  • Experience with data orchestration tools like Apache Airflow, Databricks Workflows, or Dagster.
  • Strong understanding of SQL and NoSQL databases, specifically MySQL and MongoDB.
  • Familiarity with cloud platforms including AWS, Google Cloud, or Azure.
  • Hands-on experience with Apache Kafka.
  • Any Graduate degree.

Key Skills
Education

Any Gradute

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