Description

You will bridge the gap between data engineering, data science, and analytics to solve complex business problems.

Responsibilities

• Build and maintain scalable data pipelines and manage ETL processes for structured and unstructured data.
• Translate business requirements into analytic questions, model specifications, and actionable metrics.
• Conduct exploratory data analysis (EDA) and design analyses for operational, transactional, and log data.
• Implement data quality checks and monitor pipeline performance to ensure data integrity and security.
• Collaborate with product managers and stakeholders to deliver reliable data products and dashboards.

Required Skills

• 5+ years of professional experience in data science or data engineering roles.
• Proficiency in Python and SQL.
• Hands-on experience with Machine Learning and Data Science methodologies.
• Experience working with Big Data technologies including Hadoop and Apache Spark.
• Practical knowledge of working within AWS environments.
• Ability to manipulate large datasets and perform exploratory data analysis.
• Strong ability to communicate technical concepts to non-analytic audiences.
• Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, or Economics.

Preferred Skills

• Knowledge of Java or Scala.
• Experience with R programming.

Key Skills

Education

Bachelor's degree