SRE Data Engineer (Type 2)

• 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
• Candidate with work experience of 2+ years on any one of the below tool’s operations should be given preference

o Kafka
o CDH
o Open shift
o J2EE/Spring Boot
o Ansible
o Kubernetes
o MySQL
o Hive
o Tableau
o Druid
o Jenkins Pipeline

• Good knowledge of Big Data querying tools, such as Presto and Hive, and Druid
• Knowledge of Hadoop, Spark, Hive, S3
• Knowledge of cloud native applications on AWS or, Azure or, GCP
• 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.