Havells - Data Engineer - ETL/Hadoop/Tableau
1 month ago
Must have :
- 3-7 years of meaningful experience in data engineering working on building ETL pipelines, big data tech like spark
- Very good expertise in algorithms and data structures
- Excellent in at least one programming language: Python, Go, R
- Hands-on expertise big data technologies such as Apache Spark, Hadoop, message queues(Kafka), Apache Airflow, Azure ML, Elastic Search
- Databases: Hands-on expertise in data modeling, database schema definition, query optimization, usage of relevant data stores (blob storage, data warehouse, MongoDB, TimescaleDB),
- Hands-on expertise working on analytics platforms such as Azure synapse or equivalent
- Good understanding of performance analysis and optimizations
- Hands-on experience in at least one cloud platform - Azure(preferred), AWS, or GCP
- B.E/B.Tech/M.E/M.Tech/M.S in Computer/Electronics Engineering or equivalent degrees with experience
Nice to have :
- Experience in publishing research papers or filing patents
- Knowledge of data visualization tools such as Power BI, Tableau
- Working knowledge of the "Internet of Things" desired
- Knowledge of internet-scale cloud-based distributed systems
- Good understanding of MQTT, WebSockets, Azure Service Bus, Apache Pulsar
- Good knowledge of Domain-Driven Design, Test Driven Development
- Experience developing in an Agile / SCRUM Environment
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