- Job type
- Full-time · Hybrid
- Experience
- 5+ yrs
- Salary
- Not disclosed
- Team
- Not stated
About the role
Job Title:
Data Engineer – C13/VP
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
• 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.
• BA/BS degree or equivalent work experience.
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
------------------------------------------------------
Job Family Group:
Technology------------------------------------------------------
Job Family:
Digital Software Engineering------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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