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Data Engineer – VP
| Company | Citigroup |
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| Location | Tampa, FL, USA |
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| Salary | $125600 – $188400 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 5+ years’ experience of implementing data-intensive solutions using agile methodologies.
- Proficient in one or more programming languages commonly used in data engineering such as Python, Java, or Scala.
- Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
- Multiple years of experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks.
- Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
- Multiple years of experience with open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT)
- Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet and JSON
- Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications
- Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation.
- Clear understanding of Data Structures and Object Oriented Principles.
- Experience of modelling data for analytical consumers
- Ability to automate and streamline the build, test and deployment of data pipelines.
- Proven experience of providing technical vision and guidance to a data team.
- Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work.
Responsibilities
- Code contributing member of an Agile team, working to deliver sprint goals.
- Demonstrating technical knowledge and expertise in software development, including programming languages, frameworks, and best practices.
- Actively contributes to the implementation of features and technical solutions. Write clean, efficient, and maintainable code that meets the highest standards of quality.
- Collaborate with other Engineers to define and evolve the overall system architecture and design.
- Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices.
- Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions.
- Foster a culture of technical excellence and continuous improvement.
- Stay up to date with emerging technologies, tools, and industry trends.
- Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation.
Preferred Qualifications
- Experience with Data Transformation tools like Ab Initio a plus
- Appreciation of data parallelism, associated partitioning strategies and an understanding of key components in the GDE is particularly relevant.
- Experience in cloud native technologies and patterns (AWS, Google Cloud)
- Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.)
- Experience of driving and/or influencing the data strategy of your team or Organization.
