Barclays Off Campus Drive 2024 hiring as Data Engineer | 3-6 LPA*
Barclays Off Campus Drive 2024 :
Barclays is a multinational financial institution and one of the largest banks in the world. The bank has a long
history, dating back to 1690 when it was originally founded in London, England. Over the years, Barclays has
evolved into a global banking and financial services provider, offering a wide range of products and services to
individuals, businesses, and corporations.
Barclays operates in various segments of the financial industry, including retail banking, corporate banking,
investment banking, and wealth management. In retail banking, Barclays provides personal banking services such as
savings accounts, loans, mortgages, and credit cards. The bank also offers corporate banking solutions, including
lending, trade finance, cash management, and treasury services, to businesses of all sizes.
In the investment banking sector, Barclays provides a comprehensive suite of financial services to institutional
clients, governments, and corporations. This includes advisory services for mergers and acquisitions, capital
raising through debt and equity offerings, risk management solutions, and trading and research capabilities across
various asset classes.
Barclays Off Campus Drive 2024 Details :
Job Role : | Data Engineer |
Qualification : | BE/B.Tech |
Experience : | Freshers |
Salary : | 3-6 LPA* |
DATA ENGINEER RESPONSIBILITIES :
- Run, modify, update, and help to automate our ETLs (Extract, Transform, Load) and business intelligence reports.
- Data Analysis and synthesis.
- Create reusable code in Python, PySpark and Hive. Set up different conda/pip environments, create and save code using git to further develop our repositories.
Barclays Off Campus Drive 2024 – Skills Required
- Programming Languages: Proficiency in programming languages such as Python, Java, Scala, or Ruby is crucial for data engineering. These languages are often used for data manipulation and pipeline development.
- SQL: A strong understanding of SQL (Structured Query Language) is essential for working with relational databases, writing queries, and performing data extraction and transformation.
- Database Management: Knowledge of various database systems, including SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra), is important for data storage and retrieval.
- Data Modeling: The ability to design effective data models that represent the structure and relationships within a database is critical for data organization and efficiency.