Description

You will analyze large datasets, build data pipelines, and develop predictive models to extract actionable business insights. This role combines data engineering and analysis to optimize infrastructure and support decision-making.

This role is on-site.

Responsibilities

• Analyze complex datasets to identify trends, patterns, and optimization opportunities.
• Design and develop ETL pipelines to extract, transform, and load data from various sources.
• Build predictive models and algorithms to support data-driven decisions.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Mentor junior team members and maintain data infrastructure for scalability and performance.

Required Skills

• 5+ years of experience in data analysis and engineering.
• Proficiency in SQL and relational databases (MySQL, PostgreSQL).
• Strong programming skills in Python, R, or Java.
• Experience with data visualization tools (Tableau, Power BI).
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark).
• Knowledge of statistical analysis and machine learning techniques.
• Any Graduate degree.

Key Skills

Education

Any Graduate