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13 Quince Corporate Services Jobs
Software Development Engineer
Quince Corporate Services
posted 6d ago
Job Role Insights
Key skills for the job
Job Description
- Responsible for the execution and quality of the tools, services, datasets delivered by the Data Engineering team.
- Build and deploy scalable data engineering solutions on the cloud for engineering, analytics data-science consumers.
- Be at the forefront with the business engineering teams to learn, understand, identify and translate functional requirements into technical opportunities.
- Own the low-level design and implementation while maintaining high-quality of design /programming standards
- End-to-end module ownership of your functional area.
- Sharp focus on performance optimizations continuous effort towards improving both read write latencies.
- Researching on and integrating any big data tools and frameworks required to provide requested capabilities.
- Time split - 80% hands-on programming/execution/research and 20% stakeholder management depending on experience exposure.
- Dealing with ambiguity seeking to resolve those by collaborating with all necessary stakeholders.
- Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value.
Must Have:
- Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto)
- Experience with Message Queues(e.g. Apache Kafka/Kinesis/RabbitMQ)
- Proficiency in at least one of the following programming languages - Python, Java or Scala.
- Experience in building Highly Available, Fault Tolerant REST services preferably for data ingestion or data extraction.
- Good understanding of data warehousing fundamentals.
- Good exposure to SQL (T-SQL / PL-SQL / SPARK-SQL / HIVE-QL).
- Experience with integrating data across multiple data sources.
- Good understanding of distributed computing principles.
- Strong analytical/quantitative skills and comfortable working with very large varied sets of data.
Good To Have:
- Working knowledge of cloud-native (AWS preferred) services/tools.
- Experience with MPP data warehouses (e.g.Snowflake/Redshift).
- Proficiency in Apache Spark Apache Kafka.
- Experience with any NoSQL storage(e.g.Redis / DynamoDB / Memcache).
Employment Type: Full Time, Permanent
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