Data Engineer, Specialist (WT Service Experience)

Overview

Design, build and optimise scalable data solutions that power analytics, business intelligence and data-driven decision making across the enterprise. Partner with data analysts, data scientists, software engineers and business stakeholders to deliver reliable, high-quality data products and modern data platforms.

What you'll do

• Design, develop and maintain scalable ETL/ELT pipelines for processing large and complex datasets.
• Build, optimize and support data architectures, data models and storage solutions that enable efficient analytics and reporting.
• Integrate data from internal systems, APIs and third-party platforms to create trusted and actionable datasets.
• Develop and maintain solutions for both batch and real-time data processing.
• Ensure data quality, consistency, reliability and availability across enterprise data platforms.
• Collaborate with business stakeholders and technical teams to understand requirements and deliver data-driven solutions.
• Translate business specifications into technical designs, code and scalable data solutions.
• Leverage orchestration and workflow tools such as Apache Airflow or Prefect to automate and manage data pipelines.
• Perform data validation, testing and troubleshooting to ensure accuracy and integrity of data assets.
• Lead all phases of solution development, from design through implementation and production support.
• Conduct code reviews and promote engineering best practices across the team.
• Mentor and develop junior data engineers while contributing to technical standards and continuous improvement initiatives.
• Support platform upgrades, software releases and production deployments.

What you'll need

• Bachelor's degree in Computer Science, Information Technology, Computer Applications or a related discipline, or equivalent combination of education and experience.
• Minimum 8 years of experience in data engineering, data analytics, programming, database administration or data management.
• Hands-on experience designing and developing scalable data pipelines, ETL frameworks and data solutions.
• Strong proficiency in SQL and relational database technologies such as PostgreSQL, MySQL, Oracle or SQL Server.
• Strong programming skills in Python, Scala or Java.
• Experience working with large-scale data processing technologies such as Apache Spark, Hadoop or Databricks.
• Experience designing data models, schemas and database solutions that support analytical workloads.
• Proven ability to collaborate effectively across cross-functional teams and communicate technical concepts to business stakeholders.

Nice to have

• Experience working with cloud platforms such as AWS, Azure or Google Cloud Platform.
• Hands-on experience with cloud data technologies including AWS Glue, Redshift, BigQuery or Snowflake.
• Experience with workflow orchestration tools such as Apache Airflow or Prefect.
• Knowledge of data governance, data quality and modern data architecture principles.
• Experience within financial services or other highly regulated industries.

Details

• Location: Hyderabad, Telangana, India.
• The role is based in Hyderabad, Telangana at Vanguard India.
• Vanguard has implemented a hybrid working model for most employees.