Description

You will design and implement scalable data solutions, manage large-scale datasets, and automate pipeline operations.

This role is hybrid.

Responsibilities

• Design and implement scalable data solutions and ETL processes.
• Build and manage data warehouses using Amazon Redshift, Google BigQuery, or Snowflake.
• Develop data engineering pipelines using big data processing frameworks.
• Apply DevOps practices to automate testing, deployment, and management of pipelines.
• Collaborate with cross-functional teams to solve complex data problems.

Required Skills

• 5-7 years of experience in data engineering.
• Proficiency in Python, Java, or Scala.
• Strong expertise in SQL, NoSQL, and columnar databases.
• Hands-on experience with Apache Hadoop, Apache Spark, Apache Kafka, and Apache Flink.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Familiarity with Docker and Kubernetes.
• Understanding of CI/CD and Infrastructure as Code (IaC).

Preferred Skills

• Cloud technology certifications.

Key Skills

Education

Bachelor's or Master's degree in Computer Science