Job Description
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.
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