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The Applications Development Senior Programmer Analyst (data engineering senior programmer analyst) is an intermediate level position responsible for participation in the establishment and implementation of new or revised data platform eco systems and programs in coordination with the Technology team.
Job Responsibility:
The overall objective of this role is to contribute to data engineering scrum team to implement the business requirements
Requirements:
Looking for well-rounded Big Data Professional with deep technical expertise, strong troubleshooting capabilities and ability to work in high-pressure situations to ensure the production environments runs smoothly.
Flexible in extending support during critical issue
Positive attitude
Hadoop, Spark, Hive, YARN, HBase or Cassandra, Presto/Trino, Flink, Kafka
Python, Scala, SQL, Oracle, UNIX
Strong understanding of log management
Expertise in identifying and troubleshooting production issues related to data pipelines, system bottleneck or job failure
Ability to quickly diagnose problems in distributed system and apply fixes under pressure.
Optimize Big Data workflow( eg Spark job tuning, Query optimization in Hive )
Knowledge of partitioning strategies and indexing techniques in distributed storage system
Proficiency in Bitbucket
Experience with tools like Jenkins
Knowledge of how to handle batch jobs, real time streaming pipelines and their production deployment ( Autosys )
Experience with incident management system like JIRA, ServiceNow, SAAS.
Ability to work closely with data engineers, DBA, System admins to resolve issues
Clear documentation skills to maintain runbooks, troubleshooting guides and best practice.
Ability to handle shifting priorities and manage multiple urgent issues at same time.
Ensuring all aspects of data pipeline or systems are running smoothly even during high stress incidents
Ability to explain complex technical issues to non-technical stakeholders
Nice to have:
Experience with Data Governance and understanding of security protocols( SSL, encryption) in big data environments.
Previously involvement in post-mortem analysis and continuous improvement of production process.
Familiarity with Agile methodologies and working scrum team
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