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Role: PLSQL Developer
Experience:5-10Years
Location: Bangalore
Job Requirements*
Strong PLSQL Dev Experience with5+ years of experience with Strong Oracle Knowledge
Ability to work efficiently within a fast-paced, deadline-driven environment, prioritize tasks, manage time effectively, and communicate challenges or issues proactively.
Work from Customer location and coordinate on business requirements
Key Responsibilities*
Strong PLSQL Dev Experience with5+ years of experience with Strong Oracle Knowledge
Ability to work efficiently within a fast-paced, deadline-driven environment, prioritize tasks, manage time effectively, and communicate challenges or issues proactively.
Work from Customer location and coordinate on business requirements
Note:
Technical:
1. Why do we use Fast API How is it different from other frameworks
2. State the difference between App Engine and Compute Engine in GCP. Give a real-time example on how it can be used
Coding:
1. Implement a function to calculate the maximum sum of all subarrays of an array of integers.,
2. Write a function that takes a list of non-negative integers representing the amount of money of each house and returns the maximum amount of money you can rob tonight without alerting the police. You cannot rob two adjacent houses.,
Job ID: 152253243
Skills:
Oracle Pl Sql, Functional Testing, Python, SIT UAT, SQL Query writing
Skills:
data strategies , BI strategies, PLX SQL, Modern analytical and transactional data stores, Distributed data processing frameworks, Creating dashboards using PLX, GCP Big Query, Data visualization products, SQL Dataflow
Skills:
database normalization , Performance Tuning, Joins, Functions, Triggers, Sql Development, Version Control, Oracle Pl Sql, Execution plans, Stored procedures, Packages, SQL query optimization, Oracle Database architecture, Indexing, Database release management
Skills:
oracle sql developer , Java, Javascript, Pl Sql, HTML, Sql
Skills:
TOAD, PL SQL Developer, Data Modeling, SQL Developer, Oracle Pl Sql, Advanced Sql, Performance Query optimization, Partitioning