Date live: 08/19/2026
Business Area: Enterprise Data Platforms
Area of Expertise: Technology
Contract: Permanent
Reference Code: JR-(phone hidden)
Join us as a Data Engineer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.
To be successful as a Data Engineer you should have experience with:
- Strong experience with ETL tools such as Ab Initio, Glue, PySpark, Python, DBT, DataBricks and various AWS required services / products.
- Advanced SQL knowledge across multiple database platforms (Teradata, Hadoop, SQL etc.)
- Experience with data warehousing concepts and dimensional modeling.
- Proficiency in scripting languages (Python, Perl, Shell scripting) for automation.
- Knowledge of big data technologies (Hadoop, Spark, Hive) is highly desirable.
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Experience in ETL development and data integration.
- Proven track record of implementing complex ETL solutions in enterprise environments.
- Experience with data quality monitoring and implementing data governance practices.
- Knowledge of cloud data platforms (AWS, Azure, GCP) and their ETL services.
Some other highly valued skills include:
- Solid analytical and problem-solving skills.
- Ability to work with large and complex datasets.
- Excellent documentation skills.
- Attention to detail and commitment to data quality.
- Ability to work independently and as part of a tea
📌 Cloud Data Engineer (Pune)
🏢 Barclays
📍 Pune