# Data Engineer, Specialist (WT Service Experience) at Vanguard

AI Level 1, AI centrality 25 out of 100. Hyderabad, India.

## Details

- Company: [Vanguard](https://jobsbylevel.com/companies/vanguard)
- AI level: AI Level 1 (score 25 out of 100)
- Location: Hyderabad, India
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/9559a189-f111-497f-b089-30fb57a3dd88

## Description

About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries. Vanguard India Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Role Summary We are seeking a Data Engineer to design, build and optimise scalable data solutions that power analytics, business intelligence and data-driven decision making across the enterprise. This role will partner closely with data analysts, data scientists, software engineers and business stakeholders to deliver reliable, high-quality data products and modern data platforms. The ideal candidate combines strong technical expertise in data engineering with the ability to translate business needs into scalable, efficient and maintainable solutions. Responsibilities 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. Qualifications 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. Preferred Skills and Experience 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. Technical Skills Data Engineering: ETL/ELT,

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Source: https://jobsbylevel.com/jobs/data-engineer-specialist-wt-service-experience-at-vanguard-fc6f6f

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