Cloud Data Engineer

The Role

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

4-6 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.

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.

BA/BS degree or equivalent work experience.

Preferred Qualifications

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.).

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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