Data Engineer – PySpark (Barclays) | Pune | Salary based on profile

Barclays is hiring a Data Engineer – PySpark in Pune to develop enterprise-scale data platforms, pipelines and cloud data solutions using PySpark, AWS and Snowflake.

Job Highlights

• Company: Barclays
• Role: Data Engineer – PySpark
• Location: Pune
• Job Type: Permanent
• Function: Data Engineering / Technology
• Salary: Not disclosed

Roles & Responsibilities

Build and maintain enterprise data pipelines, data warehouses and data lakes, develop scalable transformations using Spark, create Snowflake-based storage solutions and implement AWS cloud data services.

The engineer will also work with stakeholders to translate requirements into ETL components and support data-science and machine-learning teams.

Qualifications & Eligibility

• Strong practical PySpark experience.
• Experience building applications on AWS.
• Knowledge of enterprise data warehousing.
• Experience delivering major data-platform implementations.

Required Skills

• PySpark
• SparkSQL
• DataFrames
• AWS
• Snowflake
• SQL / PL-SQL
• Data Engineering
• ETL / ELT
• Data Warehousing

Preferred Skills

• AWS Glue
• S3
• Lambda
• Athena
• Lake Formation
• DBT
• Apache Airflow
• Immuta
• Alation
• Ab Initio