Data Analysts, ETL, SQL, Informatica
Infosys Hyderabad, Telangana, India
Job Description
"Unlock the power of data-driven insights as a skilled Data Analyst at Infosys, where you'll play a pivotal role in extracting, transforming, and analyzing complex data sets to inform business decisions."
In this role, you'll work closely with cross-functional teams to gather and analyze business requirements, defining data needs, metrics, and reporting outcomes that drive business growth and success.
With a strong foundation in SQL, ETL, and Informatica, you'll develop, maintain, and optimize ETL workflows to load and transform data across systems, ensuring accuracy, completeness, and consistency.
Why you should learn this:
As a Data Analyst at Infosys, you'll be in high demand due to the increasing need for data-driven insights in today's business landscape.
Expected Salary: $80,000 - $120,000 per annum, depending on experience and location.
How it works:
- Step 1: Gather and analyze business requirements to define data needs, metrics, and reporting outcomes.
- Step 2: Perform data profiling, validation, and reconciliation to ensure accuracy, completeness, and consistency.
- Step 3: Develop, maintain, and optimize ETL workflows using Informatica to load and transform data across systems.
- Step 4: Write and tune SQL queries for data extraction, transformation, and analytical use cases.
- Step 5: Create and maintain documentation for ETL mappings, data flows, source-to-target mappings, and business logic.
Core Concepts to Master
ETL Development with Informatica
ETL development involves designing and implementing processes to extract data from various sources, transform it into a standardized format, and load it into a target system. Informatica is a popular ETL tool used for data integration and transformation.
SQL Query Optimization
SQL query optimization involves analyzing and improving the performance of SQL queries to reduce execution time and improve data retrieval efficiency. This involves understanding database indexing, query optimization techniques, and tuning database performance.
Data Profiling and Validation
Data profiling and validation involve analyzing data quality, accuracy, and completeness to ensure it meets business requirements. This involves using data profiling tools, identifying data inconsistencies, and implementing data validation techniques.
Interview Questions (Beginner)
- What is ETL development, and how is it used in data integration?
- What are the key differences between Informatica and other ETL tools?
- How do you optimize SQL queries for better performance?
Job Overview
Advance Questions
- • Design an ETL workflow using Informatica to load and transform data across systems.
- • Write a SQL query to extract and transform data from a complex database schema.
- • Explain the concept of data profiling and validation, and provide examples of its application in a real-world scenario.