Senior Data Engineer (R13923)

📋 Description

• Design, develop, and maintain scalable data platforms and pipelines.
• Lead data architecture decisions and mentor junior engineers.
• Collaborate with data scientists, analysts, and stakeholders to meet data needs.
• Ensure data quality, governance, and scalability for large data volumes.

🎯 Requirements

• Bachelor's or Master's degree in CS, DS, or related field.
• 5+ years in data engineering with focus on data architecture, ETL, and DB management.
• Proficiency in Python/PySpark and Java or Scala.
• Expertise with Hadoop, Spark, Kafka; strong SQL and DB knowledge (PostgreSQL, MariaDB, NoSQL).
• Experience building end-to-end data pipelines; orchestration with Jenkins, Airflow, or Databricks.
• Cloud experience with AWS/Azure/GCP and data services (Redshift, S3, Azure Data Warehouse).

🎁 Benefits

• Inclusive, diverse culture and equal opportunity employer.
• Opportunity to own large projects and drive architectural decisions.
• Collaborative environment with cross-functional teams.
• Remote-friendly role with focus on delivering impact.