Sre Data Engineer
2 weeks ago
Minimum 5 - 12 years professional experience as SRE and doing L2/L3 production support, practices and skills or in IT operations in a financial institution.
- Strong programming and scripting skills - C++, Java, shell scripts, Python, etc
- Kafka
- CDH
- Open shift
- J2EE/Spring Boot
- Ansible
- Kubernetes
- MySQL
- Hive
- Tableau
- Druid
- Jenkins Pipeline
- Good knowledge of Big Data querying tools, such as Presto and Hive, and Druid
- Knowledge of Hadoop, Spark, Hive, S3
- Good knowledge of stream-processing systems, using solutions such as Flink or Spark-Streaming
- Good knowledge of Kubernetes
- Should have basic knowledge of DB(Mysql,PSQL,Hive )..DDL,DML
- Experience with integration of data from multiple data sources
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of various ETL techniques and frameworks
- Experience with various messaging systems, such as Kafka or RabbitMQ
- Storage - SQL, MariaDB, Apache HBase
- Knowledge of CI-CD - Maven, Git, Jenkins
- Monitoring - ELK, Grafana, Prometheus
- Good understanding of Lambda Architecture, along with its advantages and drawbacks
- Good to have 3+ years Big Data Operation experience
- Knowledge of FileSystem, FileTypes good to have.
- High-level analytical and problem-solving skills.
- Good project management and communication skills.
- Well versed with SRE practices
- Proficient understanding of distributed computing principles
- Bachelor's degree in Computer Science or a related field. At least (5 - 12) years of IT experience of which at least (5) years' experience in similar role, ideally in a Big Data tools.
**Job Types**: Full-time, Permanent
Pay: Up to $10,000.00 per month
**Benefits**:
- Additional leave
- Health insurance
- Professional development
Schedule:
- Day shift
Supplemental Pay:
- Commission pay
- Performance bonus
**Experience**:
- Site reliability: 5 years (preferred)
- scripting skills: 4 years (preferred)
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