Description

You will build and maintain data pipelines and scalable data architectures.

Responsibilities

• Develop and maintain data pipelines using Apache Spark, Python, and SQL.
• Contribute to scalable data architecture and work with data warehousing systems.
• Apply Python libraries including pandas, numpy, and scikit-learn for data manipulation and ML workflows.
• Collaborate on the full data science lifecycle, from framing use cases to model deployment.
• Support DevOps workflows using Docker or Singularity.

Required Skills

• 10+ years of professional experience.
• Strong proficiency in Apache Spark, Python, and SQL.
• Extensive experience with the Hadoop ecosystem.
• Solid understanding of statistics and ML algorithms.
• Experience with data warehousing and big data tools.
• Proven experience across the full data science lifecycle.
• Any Graduate degree.

Preferred Skills

• Exposure to Docker and Singularity.
• Experience with big data platforms.

Key Skills

Education

Any Graduate