Job Title

Job Summary: We’re looking for someone who is passionate about data engineering, automation and cloud platforms, with an interest in the music industry. You’ll work with analytics and digital teams to build AWS-based data pipelines that transform raw files into analytics-ready datasets, gaining hands-on exposure to cloud architecture, Python, SQL and data-driven music insights.How to apply?Apply via job posting only. Other modes of application will not be accepted.Key Responsibilities:- Design and automate data ingestion pipelines to process Excel and CSV files using Python (Pandas, NumPy). - Store and manage structured and semi-structured data on AWS (Amazon S3, AWS RDS / Redshift). - Assist in building and maintaining cloud-based data models and schemas optimized for analytics and reporting. - Write and optimize SQL queries for data validation, aggregation and performance tracking. - Support the development of ETL workflows using Python and AWS services (e.g., Lambda, Glue – exposure preferred). - Integrate data from APIs and web-scraped sources using Python (Requests, Selenium, BeautifulSoup). - Build and optimize dashboards and reports (Power BI / Tableau / AWS QuickSight) for trend analysis and business insights. - Collaborate with Marketing, A&R and Digital teams to translate business requirements into technical data solutions. - Ensure data accuracy, consistency and basic governance across cloud data assets.Skills & Requirements:- Preferred B. Tech graduate. - Minimum 1-2 years of experience in data analysis. - Should be based out of Mumbai. - Strong proficiency in Excel/CSV data handling, with hands-on Python experience for data automation and ETL. - Working knowledge of SQL, relational databases and core data architecture concepts. - Familiarity with AWS data services (S3, RDS/Redshift, Lambda/Glue exposure is a plus). - Basic knowledge of cloud data flows, JavaScript and Git/version control are desirable additions.