Data Analyst
Job Summary
We are seeking a skilled and self-driven Data Engineer The ideal
candidate should have strong analytical capabilities hands-on experience with PySpark and the ability to design and
build scalable data solutions independently.
Key Responsibilities:
Analyze large and complex datasets to derive actionable insights
Design develop and maintain robust data pipelines using PySpark
Create clear and effective data visualizations to communicate insights
Work on data modeling and contribute to overall data architecture design
Break down complex business problems into smaller manageable components and solve them effectively
Ensure data quality integrity and scalability across systems
Requirements: Strong proficiency in data analysis and problem-solving
Hands-on experience with PySpark and building data pipelines
Solid understanding of data modeling and data architecture principles
Ability to work independently with minimal supervision
Strong ownership mindset and self-motivation
Excellent analytical and critical thinking skills
candidate should have strong analytical capabilities hands-on experience with PySpark and the ability to design and
build scalable data solutions independently.
Key Responsibilities:
Analyze large and complex datasets to derive actionable insights
Design develop and maintain robust data pipelines using PySpark
Create clear and effective data visualizations to communicate insights
Work on data modeling and contribute to overall data architecture design
Break down complex business problems into smaller manageable components and solve them effectively
Ensure data quality integrity and scalability across systems
Requirements: Strong proficiency in data analysis and problem-solving
Hands-on experience with PySpark and building data pipelines
Solid understanding of data modeling and data architecture principles
Ability to work independently with minimal supervision
Strong ownership mindset and self-motivation
Excellent analytical and critical thinking skills