EUF-707 - Big Data with ETL

EUF-707 - Big Data with ETL

19 Mar
|
JPMorgan Chase Bank, N.A.
|
Hyderābād

19 Mar

JPMorgan Chase Bank, N.A.

Hyderābād

Functions:

Ownership, maintenance and support of CCB Data Ecosystem Hadoop implementations.

Coordination of platform maintenance, including change and release management (planned and emergency deployments, configuration and patching).

Participation in Resiliency testing. Regular and systematic testing of application redundancy and failover.

Supporting application teams on Data ingestion into big data platform using HDF and other HDP components like ( Kafka ,spark and hive etc.)

Supporting Application deployment , Data storage and Access authorization (Hive, base and Ranger) etc.

Supporting application teams on deployments , failed jobs and log analysis , access related issues etc.



Global end user support on big data platforms

Ensuring availability and reliability of Data and Analytic platforms

Real-time system monitoring (custom and off-the-shelf tools). Engineer and implement custom monitoring solutions if needed.

Work with big data teams from other divisions supporting different layers of the platform stack.

Monitoring of Hadoop environment/Cluster , jobs, build and deploy and ability to debug issues from Hadoop logs

working with development teams and contributing to the strategic roadmap and execution.

Responsible to support process improvements to continuously improve the stability and performance of the platform

Knowledge transfer to the India and US teams

Participation of Run books development. Support off hours on rotational basis.

End-to-end Incident and Problem resolution for responsible LOBs.

Identify system bottlenecks and opportunities for process improvements

Effectively perform root cause analysis of issues and report the outcome to business community and Management.

Handling user onboarding and automation.

General operational expertise such as good troubleshooting skills, understanding of system's capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks.

Preferably a candidate with Site Reliability Engineer (SRE) mindset and having key contribution or working experience on Hadoop stack and java ( preferred)

Able to build a meaningful engineering discipline, combining software and systems to develop creative engineering solutions to operations problems

Key areas of focus include automation, application/platform uptime and application deployment using CI/CD pipeline

The position will wear many hats from owning day to day health and performance, to identifying incidents/developing remediation plans etc..



Experience required :

B.Tech Degree in Computer Science

At least 7+ years of experience as a participant on data Engineering related efforts

Exposure to the banking businesses, functions, systems, data environments, and processes that are necessary for the production

Must have skills Python : Hadoop, Spark, Hive,Impala, Hue,SQL, Java/Scala, Python, Unix shell scripting .Comfortable in querying and analyzing large amount of data using Hive

Monitoring of Hadoop environment/Cluster , jobs, build and deploy and ability to debug issues from Hadoop logs

Expertise in administration of Hadoop infrastructure , troubleshoot job failures and provide performance tuning and recommendations

Experience with ETL tools like Informatica and Abinitio.

Experience with troubleshooting Kerberos Authentication problems

Familiar with Hadoop security knowledge and permissions schemes

Knowledge on LDAP related tasks /activities and Linux administration.



Good to have: -

Knowledge on AWS and data migration to cloud platform, Python scripting, ansible, CDH to CDP migration projects

Good to have- knowledge on Angular / React is added advantage

Design, coding, debugging and analytical skills, especially within the big data ecosystem

Understanding of risk and governance functions for Hadoop platform

Strong communication skills, with prior experience in requirements gathering and working with SMEs and Stakeholders at various leadership levels.

Excellent customer service attitude, communication skills (written and verbal), cross-functional, multi-location teams and interpersonal skills

Strong technical documentation skills.

Knowledge or experience in Dashboards, KPI, Scorecards, Operational and reporting tools

Experience performing root cause analysis and problem management from multiple layers of the application stack

Strong command of the SQL language & understanding of relational databasesJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.



We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

The original job offer can be found in Kit Job:
https://www.kitjob.in/job/21676328/euf-707-big-data-with-etl-hyderabad/?utm_source=html

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