Description

You design and maintain scalable data pipelines and ETL processes to support analytics and reporting.

This role is on-site.

Responsibilities

• Design and implement data transformation and validation logic.
• Architect scalable data pipelines using cloud infrastructure and big data technologies.
• Model efficient data structures for analytics, ensuring data integrity and governance.
• Collaborate with Quant and Development teams to align data solutions with business needs.
• Maintain clear technical documentation for all data processes and systems.

Required Skills

• 3-6 years of experience in ETL development and data engineering.
• Strong programming proficiency in Python, Java, or Scala.
• Expertise in SQL and both relational and non-relational databases.
• Hands-on experience with Azure, AWS, or GCP cloud platforms.
• Knowledge of big data technologies including Hadoop, Spark, and Kafka.
• Experience with web scraping for data extraction.
• Strong analytical and problem-solving capabilities.

Key Skills

Education

Any Graduate