Senior Data Analyst

Weekday AI View all jobs

  • Bangalore, Karnataka
  • Permanent
  • Full-time
  • 3 days ago
  • Apply easily
This role is for one of the Weekday's clientsMin Experience: 4 yearsLocation: Mumbai, BengaluruJobType: full-timeRequirementsRole & Responsibilities
  • Take full ownership of designing, developing, and managing scalable data pipelines that process both structured and unstructured data sources
  • Develop and enhance ETL/ELT workflows utilizing SQL, Python, PySpark, and AWS big data technologies
  • Establish and maintain data quality, validation, and monitoring standards to guarantee reliable and accurate data
  • Conduct in-depth data exploration and analysis to address complex business challenges and provide actionable insights
  • Serve as the senior data owner during product and client implementations, ensuring data use cases are properly implemented, thoroughly tested, and production-ready
  • Collaborate closely with Product, Engineering, and Data Science teams to shape data architecture and support analytical use cases
  • Offer technical guidance and mentorship to junior analysts while contributing to data platform best practices
Required Skills & Experience
  • Minimum of 4 years’ experience in Data Analytics or Data Engineering roles
  • Expertise in SQL along with practical experience working with both relational and NoSQL databases
  • Advanced proficiency in Python and PySpark for large-scale data processing tasks
  • Demonstrated experience building and managing ETL pipelines using tools like Airflow, AWS Glue, or similar platforms
  • Strong knowledge of data modeling concepts and techniques for performance optimization
  • Hands-on experience with AWS data services such as S3, EMR, Redshift, Athena, and RDS
  • Ability to independently handle complex data challenges from start to finish and effectively influence cross-functional teams
  • Familiarity with US healthcare data is highly desirable

Weekday AI

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