Description

You will build and maintain scalable data infrastructure to support organizational analytics and decision-making.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Manage data warehouses, lakes, and cloud-based storage solutions using AWS, Azure, or GCP.
• Ensure data quality, integrity, and consistency across multiple data sources.
• Optimize data processing workflows for performance and scalability.
• Implement data security, governance, and troubleshooting protocols.

Required Skills

• 3+ years of experience in a data engineering or similar data-focused role.
• Strong SQL skills with experience in relational and NoSQL databases.
• Hands-on experience with ETL/ELT tools and pipeline frameworks such as Apache Airflow, Talend, or Informatica.
• Proficiency with cloud platforms including AWS, Azure, or GCP.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Experience with Data Engineering principles and Data Governance.
• Knowledge of Kafka.

Preferred Skills

• Experience with Python, Java, or Scala.
• Familiarity with Hadoop, Spark, or big data technologies.
• Knowledge of data modeling, data warehousing, BI tools, and CI/CD pipelines.

Key Skills

Education

Bachelor's or Master's degrees