Job Details:
Company: Barclays
Role Title: Engineer – PySpark / SQL (Data Engineering Role)
Experience: Freshers to Early Career (or as per job posting)
Location: Pune, India
Barclays is looking to onboard Engineers skilled in PySpark / SQL for its Pune office. This role involves building and maintaining data pipelines, data warehouses / lakes, and enabling analytics and data-driven decision making for financial products and services.

Role Overview & Responsibilities
- Build and maintain data architectures: data pipelines, data warehouses/lakes, ensuring secure, reliable, and scalable data storage and processing systems. search.jobs.barclays
- Develop and implement processing and analytical algorithms to handle large volumes of data; work on data ingestion, transformation, and data modeling using PySpark, SQL, and other big-data technologies. search.jobs.barclays+1
- Collaborate with data scientists, business analysts, and other engineering teams to build data-driven features, analytics products, or machine-learning pipelines. search.jobs.barclays
- Ensure data integrity, performance optimization, and follow best practices for data processing, security and compliance.
Eligibility & Skills Required
Eligibility:
- Bachelor’s degree in Computer Science, Information Technology or related discipline.
- Freshers or early career candidates eligible (depending on posting) with interest in data engineering and big-data systems.
Technical Skills:
- Proficiency in PySpark, Python, SQL; familiarity with big-data ecosystems (Hadoop/Spark, data lakes, AWS or cloud-data platforms) is preferred. search.jobs.barclays+1
- Good understanding of data structures, algorithms, and ability to write efficient, scalable data processing code.
- Familiarity with UNIX/Linux, version control (Git), data processing tools — beneficial for success in this role.
Soft Skills:
- Analytical thinking, problem-solving mindset.
- Ability to work in teams, collaborate across data/business/engineering functions.
- Willingness to learn and adapt, good communication skills, and attention to detail.
Why Join Barclays?
- Work at a global banking-tech leader that leverages large-scale data and modern analytics infrastructure — giving exposure to fintech, data engineering, and enterprise systems. search.jobs.barclays+1
- Opportunities to work on data pipelines and systems that support millions of customers — real-world impact and large-scale data handling experience. search.jobs.barclays
- Great learning environment for freshers and early-career engineers — ability to build strong data-engineering skills and grow within a global organization.
- Exposure to best practices in data security, compliance, and modern data architectures — valuable for long-term career growth in data and engineering fields.
| Company Name: | Barclays |
| Role: | Data Engineer |
| Experience: | Freshers |
| Location: | Pune |
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