Description

You will build, optimize, and maintain scalable data pipelines and architectures.

Responsibilities

• Build and maintain scalable data pipelines and architectures.
• Optimize data workflows for performance and reliability.
• Collaborate with data scientists, analysts, and business teams to deliver data solutions.
• Implement data governance, security, and compliance best practices.

Required Skills

• 6+ years of experience as a Data Engineer.
• Strong proficiency in SQL and relational databases.
• Hands-on experience with Spark, Hadoop, Hive, and Kafka.
• Proficiency in Python, Scala, or Java.
• Experience with cloud platforms including AWS Redshift or Azure Synapse.
• Experience using workflow orchestration tools such as Airflow, Luigi, or Prefect.
• Strong analytical and problem-solving skills.
• Any Graduate degree.

Key Skills

Education

Any Graduate