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Data Engineer - Oracle PLSQL, Data Analytics, Geo Postal Data Maintenance

Cisco Hyderabad, Telangana, India

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Job Description

"Unlock your data engineering potential and join the Cisco team where innovation meets collaboration."

As a Data Engineer at Cisco, you will play a critical role in providing accurate and timely foundation data to various functions across the organization.

You will work closely with Ops delivery lead and cross-functional stakeholders to ensure smooth and efficient operations, while leveraging your advanced data analysis skills to drive business growth and innovation.

Why you should learn this:

High demand for skilled data engineers in the current market, with a projected growth rate of 14% by 2028.

Expected Salary: $118,000 - $160,000 per year, depending on experience and location.

How it works:

  • Step 1: Develop a deep understanding of Oracle PL/SQL, including data modeling, data warehousing, and data analytics.
  • Step 2: Learn to work with Geo Postal data, including data integration, data quality, and data governance.

Core Concepts to Master

1

Data Modeling

Learn to design and implement efficient data models using Oracle PL/SQL, including entity-relationship diagrams and database schema design.

2

Data Warehousing

Understand how to design and implement data warehouses using Oracle PL/SQL, including data aggregation, data transformation, and data visualization.

3

Data Analytics

Develop advanced data analysis skills using Oracle PL/SQL, including data mining, predictive analytics, and business intelligence.

Interview Questions (Beginner)

  • What is Oracle PL/SQL and how is it used in data engineering?
  • Can you explain the concepts of data modeling and data warehousing?
  • How do you ensure data quality and governance in a data engineering project?

Job Overview

CompanyCisco
Employment TypeFull-time
LocationHyderabad, Telangana, India
Experience LevelFresher
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Advance Questions

  • • Design a data model for a complex business scenario using Oracle PL/SQL.
  • • Implement a data warehouse using Oracle PL/SQL, including data aggregation and data transformation.
  • • Develop a predictive analytics model using Oracle PL/SQL, including data mining and machine learning.