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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
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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