Data Engineer
hackajob Pune Division, Maharashtra, India
Job Description
"Unlock the secrets of data engineering and revolutionize digital landscapes as a Data Engineer at Barclays."
As a Data Engineer at Barclays, you'll be at the forefront of driving innovation and excellence in our digital landscape. With the rise of digital transformation, companies like Barclays are seeking exceptional professionals to spearhead the evolution of their digital offerings.
In this role, you'll harness cutting-edge technology to revolutionize customer experiences, build and maintain pipelines for structured, semi-structured, and unstructured data, and ensure seamless data flows across systems.
Why you should learn this:
With the increasing demand for data-driven decision-making, Data Engineers are in high demand across industries, with a projected growth rate of 14% by 2028.
Expected Salary: The average salary for a Data Engineer in the UK is between £60,000 and £100,000 per annum, depending on experience and location.
How it works:
- Step 1: Develop a strong foundation in data engineering principles, including data warehousing, ETL, and data governance.
- Step 2: Build and maintain pipelines for structured, semi-structured, and unstructured data using tools like Apache Beam, Apache Spark, and AWS Glue.
Core Concepts to Master
Data Warehousing
A data warehouse is a centralized repository that stores data from various sources, providing a single source of truth for business intelligence and analytics. Data Engineers design and implement data warehouses to support business decision-making.
ETL (Extract, Transform, Load)
ETL is a process used to extract data from various sources, transform it into a standardized format, and load it into a target system, such as a data warehouse or data mart. Data Engineers develop ETL processes to ensure data quality and integrity.
Data Governance
Data governance is the process of managing and controlling data assets to ensure they are accurate, complete, and compliant with regulatory requirements. Data Engineers implement data governance policies and procedures to ensure data quality and integrity.
Data Pipelining
Data pipelining is the process of building and maintaining pipelines for structured, semi-structured, and unstructured data. Data Engineers develop data pipelines to ensure seamless data flows across systems.
Interview Questions (Beginner)
- What is data warehousing, and how is it used in business intelligence?
- Can you explain the ETL process, and how is it used in data integration?
- What is data governance, and why is it important in data management?
Job Overview
Advance Questions
- • How do you design and implement a data warehouse to support business decision-making?
- • Can you explain the concept of data pipelining, and how is it used in data integration?
- • How do you ensure data quality and integrity in a data warehouse or data mart?