发布 Mar 09, 2023 143 查看
As a Data Engineer you will:
- Design, develop and maintain an infrastructure for streaming, processing and storage of data. Build tools for effective maintenance and monitoring of the data infrastructure.
- Contribute to key data pipeline architecture decisions and lead the implementation of major initiatives.
- Work closely with stakeholders to develop scalable and performant solutions for their data requirements, including extraction, transformation and loading of data from a range of data sources.
- Develop the team’s data capabilities - share knowledge, enforce best practices and encourage data-driven decisions.
- Develop data retention policies, backup strategies and ensure that the firm’s data is stored redundantly and securely.
Job requirements
- Solid Computer Science fundamentals, excellent problem-solving skills and a strong understanding of distributed computing principles.
- At least 3 years of experience in a similar role, with a proven track record of building scalable and performant data infrastructure.
- Expert SQL knowledge and deep experience working with relational and NoSQL databases.
- Advanced knowledge of Apache Kafka and demonstrated proficiency in Hadoop v2, HDFS, and MapReduce.
- Experience with stream-processing systems (e.g. Storm, Spark Streaming), big data querying tools (e.g. Pig, Hive, Spark) and data serialization frameworks (e.g. Protobuf, Thrift, Avro).
- Bachelor’s or Master’s degree in Computer Science or related field from a top university.
技能
Supervisor’s gender:
Percentage of female coworkers:
Birdview Logic Private Limited
Birdview logic Pvt Ltd. Is the emerging information technology consulting, services, and business process digitizing organization that envisioned and instigated the adoption of the flexible business practices that today enable our client companies to operate more efficiently and produce more value. We specialized in enterprise solutions and successfully serving clients globally. We are working on technically interesting Large Global Projects in Telecom, Banking, Smart City, Data Science Projects which give our growing family members a chance to broaden their exposure and skills.
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