Citi
Website:
citigroup.com
Job details:
Job Description
We are looking for a hands-on Principal Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Principal Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to mentor other engineers, share your technical expertise, and promote a culture of technical excellence within the team. The Principal Data Engineer will report to an Engineering Manager and will be a floating member of multiple engineering teams. There is an expectation to contribute to the codebase and deliver solutions against the sprint-level commitments.
Responsibilities
- Code contributing member of multiple Agile teams, working to deliver sprint goals.
- Demonstrating deep technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members
- Actively contributes to the implementation of critical features and complex technical solutions. Write clean, efficient, and maintainable code that meets the highest standards of quality.
- Collaborate with other Principal 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.
Required Qualifications
- 15+ 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.)
- Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation.
- Expertise in Quantexa Entity resolution product, Quantexa certifications will be preferred.
- 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.
- 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 architecting and building horizontally scalable, highly available, highly resilient, and low latency applications
- Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
- 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.
- BE/BTech degree or equivalent work experience.
Preferred Qualifications
- Familiarity with open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT) is a valuable asset
- Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet and JSON
- 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.
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Job Family Group:
Technology
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Job Family:
Digital Software Engineering
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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