Description

You will design and manage the data infrastructure required to support data-driven insights.

Responsibilities

• Build and maintain scalable ETL pipelines.
• Design and implement data modeling solutions.
• Orchestrate complex data workflows using tools like Apache Airflow or Prefect.
• Manage and optimize data warehouse solutions including Snowflake, Redshift, or BigQuery.
• Work with both relational and NoSQL databases to ensure data availability.

Required Skills

• 4+ years of experience in data engineering.
• Expertise in Apache Spark, Hadoop, or Kafka.
• Strong proficiency in SQL.
• Experience with Python, Scala, or Java for data processing.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Bachelor's degree in Computer Science.
• Proficiency in data pipeline orchestration.

Key Skills

Education

Bachelor's degree in Computer Science