Senior Data Engineer - Real Time Analytics
Malvern, PA, United States
Required Skill set: (Please don’t apply if you do not have these skills and experience)
Proven experience as a Data Engineer
Familiarity with real-time data processing and analytics.
Strong proficiency in Python programming for data engineering tasks. Experience using Python libraries and frameworks.
Strong hands-on experience with real-time data streaming technologies such as AWS Kinesis, Apache Kafka, Apache Flink, or similar technologies.
Solid understanding of SQL and experience working with relational databases (e.g., Aurora)).
Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake).
Experience with data lake and Lakehouse concepts and tools (e.g., Apache Iceberg, Hive, etc).
Knowledge of data modeling, ETL processes, and data integration best practices.
At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skills.
Familiarity with Agile Development principles
Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
Experience with software engineering tools, such as Eclipse, Git, and others.
Able to write clean, maintainable code, and read code created by others.
Highly collaborative, fast learner, willing to jump in and help wherever needed.
Enthusiasm for learning and experimenting with latest trends and advancements in real-time data engineering and analytics technologies.
What it takes:
Undergraduate degree in a related field or the equivalent combination of training and experience
Software Development experience
Strong written and oral communication skills
Strong, demonstrated analysis and problem-solving skills.
Strong planning and organizational skills
Ability to implement instrumentation to gather business-specific metrics around consumer usage patterns.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Data Warehousing Engineering ETL Flink Git Kafka Kinesis Python RDBMS Redshift Snowflake SQL Streaming
Perks/benefits: Career development
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