Description

You will build and migrate complex ETL pipelines from on-premise systems to cloud and Hadoop/Spark environments to ensure elastic scalability.

This role is on-site.

Responsibilities

• Migrate ETL pipelines to cloud and Hadoop/Spark environments.
• Interface with business customers to define data platform requirements.
• Extract and combine data from heterogeneous sources.
• Address data quality issues to maintain user experience.
• Model data and metadata to support machine learning and AI initiatives.

Required Skills

• 5+ years of experience in cloud-based data engineering.
• Proven expertise in data modeling, ETL development, and data warehousing.
• Experience with SQL Server, Oracle, Redshift, or Teradata.
• Proficiency in Python, Scala, Java, or .NET.
• Hands-on experience with Hadoop and NoSQL databases.
• Strong knowledge of SQL Server and SSIS.

Preferred Skills

• API development experience.

Key Skills

Education

Any Graduate