Sr Big Data Engineer
2 days ago
**We are a fast growing company that aims to help you with all in job finding matching to your skills.**:
**_Qualification & Experience:_**:
- **CS fundamentals**: At least a B.S. / MS in Computer Science, or related degree AND you have a strong ethos of continuous learning.**:
- **Commercial software engineering**: You have 6 to 10 years of professional software development experience with languages and systems such as Python, PySpark, Java and version control (git), with good analytical & debugging skills.**:
- **Big data**: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Spark. You’ve routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.**:
- **Data Modeling**: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques.**:
- **Real Time Systems**: Understands evolution of databases for in-memory, NoSQL & indexing technologies along with experience on real-time & stream processing systems like Google pub/sub, GCP technologies, Kafka, Storm, Spark Streaming.**:
- **Strong design skills**: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration.**:
- **Project management**: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.**:
- **Excellent verbal and written communication skills**: Must be able to effectively communicate & work with fellow team members and other functional team members to coordinate & meet deliverables.**:
**_Must Have Good to have_**:
- **Commercial software engineering**:
**Python, version control (git), analytical & debugging skills PySpark, Java.**:
- **Big Data**:
**Google Cloud Platform, Big Query, Data Flow Hadoop Eco System, HDFS, Spark**:
- **Data Modeling**:
**Data modeling, PL/SQL, star & snowflake schema design, in-memory**:
**NoSQL & indexing technologies.**:
- **Real Time Systems**:
**Google pub/sub, GCP technologies, Kafka Storm, Spark Streaming.**:
**To your success**
**The Recruitment Team**
**Intellect Minds Pte Ltd (Singapore)**:
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