Description

You will bridge data engineering and advanced analytics to drive business intelligence.

This role is hybrid.

Responsibilities

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

Required Skills

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

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate