Data Engineer - VP

We are looking for a hands-on Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to share your technical expertise and promote a culture of technical excellence within the team.

The Data Engineer will work with a Team Lead and will be a code-contributing member of the team that will deliver solutions against the sprint-level commitments.

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.

Required Qualifications

• 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.

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

Education

• BA/BS degree or equivalent work experience.

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Job Family Group:

Technology

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Job Family:

Digital Software Engineering

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