**This role is for one of the Weekday's clients

**Min Experience: 4 years

Location: Mumbai, Bengaluru

JobType: full-time

Role & 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