- Hands-on Apache Spark and Hadoop experience in distributed data processing.
- Strong SQL, including complex queries and performance tuning.
- Experience building ETL pipelines using Python, Scala, Java or shell scripting.
- Knowledge of data modelling and database design, plus cloud experience. AWS is preferred.
Role focus: Build and maintain scalable ETL pipelines, ensure data quality, optimise processing performance and troubleshoot production issues.
Good to have: Data quality frameworks, data governance, fuzzy matching or data enrichment.
Please prioritise candidates whose résumés show what they built and tuned in production.
📌 Big Data ETL Developer (Bengaluru)
🏢 The Career
📍 Bengaluru
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