JPMorgan is hiring for freshers as SQL Developer
- Company Name
- JPMorgan
- Company Website
- http://jpmorgan.com/
- Job Role
- SQL Developer
- Job Type
-
- Fresher
- Experienced
- Job Location
-
- Bengaluru/Bangalore
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
Eligibility Criteria
- Working experience as a data architect
- Technical expertise in creating Dimensional Data Models and database design
- Experienced in ELT/ETL processes, reconciliations, data pipelines creation and implementation
- Extensive SQL experience and ELT tooling experience like DBT or similar.
- Intermediate level experience of Python
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- Experience with relational & non-relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
- Knowledge of modern MPP databases and big-data (Hadoop) concepts
Job Description
- Provide analytical support using SQL to measure KPIs or perform ad-hoc data exploration for business LoBs
- Gain familiarity with a variety of data sources including both event-stream data and tabular, relational data
- Help the LOB stakeholders innovate through data-driven decisioning by querying data and merging information from diverse data sources to create rich datasets that enable better decision-making
- Create a consolidated data model merging the various data sources ingested by the platform. This will involve creating a dimensional model.
- Work with other Analytics teams and multi-task on projects to summarize and synthesize data in a clear and logical manner
- Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization
- Support ongoing technology evaluation process and proof of concept projects
- Create cloud-based applications to facilitate various aspects of data management (e.g. reference data management, master data management, data lineage).
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