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Accountabilities:
- Partner with business and technical stakeholders to translate ambiguous requirements into technical solutions.
- Design, develop, and maintain end-to-end data products using Databricks, Delta Lake, SQL, Python, PySpark.
- Build reliable batch, incremental, streaming, and near-real-time data pipelines using Kafka.
Requirements:
- 5+ years of experience in data engineering or software engineering with ownership of production data solutions.
- Strong proficiency in SQL, Python, and PySpark with experience in Databricks, Apache Spark, and Delta Lake.
- Hands-on experience with streaming technologies like Kafka, Kinesis, or Event Hubs.
Benefits:
- Remote work within India.
- Generous time-off policies and comprehensive benefits for wellbeing.
- Education and learning support with wellness resources.
Partner Company
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.