Description

You will design, develop, and maintain data pipelines and end-to-end data solutions to support business decision-making.

This role is on-site.

Responsibilities

• Build and support data pipelines for data curation, parsing, cleaning, transformation, and enrichment.
• Design and implement business performance dashboards and automated KPI reports.
• Develop applications using SQL and Python to manipulate data and monitor data quality.
• Document end-to-end data pipeline processes and data assets for information management.
• Implement projects following SDLC methodologies within an agile framework.

Required Skills

• 5+ years of experience as a data engineer.
• Proficiency in Python and SQL for data querying and analysis.
• Experience with Apache Spark and big data processing on distributed cluster-computing frameworks.
• Working knowledge of Hadoop, Java, R, and Elasticsearch.
• Understanding of relational database concepts and data structures.
• Experience with object-oriented programming and system architecture.
• Ability to construct workflow charts, diagrams, and technical specifications.

Preferred Skills

• Bachelor’s Degree in Computer Science, Data Science, Statistics, or a relevant quantitative field.

Key Skills

Education

Bachelor's Degree