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Data Engineer
2 months ago
RESPONSIBILITIES
Responsibilities include, but are not limited to:
● Build, test, scale and maintain highly reliable data pipelines from a variety of batch data
sources and real-time streams
● Contribute to the data infrastructure and platform used to build our data pipelines
● Serve as a core member of the data engineering team and be proficient in assisting the
business with understanding data attributes
● Design and present recommendations to guide future business and research directions
● Build and maintain highly validated data-marts with ensured clarity and correctness of key
business metrics for BI reporting purposes
● Collaborate with other Data Engineers, Data Scientists, and BI Engineers to architect and
implement a shared technical vision
● Follow agile processes with a focus on delivering production-ready, testable deliverables in an
iterable fashion
● Serve as a senior technical contact for the data solutions engineering team
● Perform code reviews and in-depth technical reviews of system design architectures for junior
engineers
● Participate in the entire software development lifecycle, from concept to release
MINIMUM QUALIFICATIONS
● BS, MS, Ph.D., or equivalent industry experience in Computer Science, Software Engineering,
or other related Science/Technology/Engineering/Math fields.
● 3+ years experience of near Real Time (Streaming) & Batch Data Pipeline development in a
large scale organization
● 7.5+ years of relevant experience in software development in total.
● Experience in writing reusable/efficient code to automate analysis and data processes
● 2+ of business/marketing analytics experience, preferably in a consumer-based organisation
● Experience successfully working on an independent project with very minimal supervision
● Experience in processing structured and unstructured data into a form suitable for analysis
and reporting with integration with a variety of data metric providers ranging from web
analytics, consumer analytics, and advertising
● Strong Experience with data modelling, batch data pipeline design and implementation
● Strong Experience in software development and engineering principles
● Experience implementing scalable, distributed, and highly available systems using AWS
services such Kinesis, DynamoDB, S3
● Exceptional communication skills, particularly in communicating and visualizing
quantitative findings in a compelling and actionable manner for business stakeholders
● Experience in mentoring and supporting junior members of the team
● High Proficiency in Python/PySpark, Scala or Java
● High Proficiency in SQL
● Experience with Databricks/Spark
● Experience with orchestration tools such as Airflow (we use Astronomer)
● Comfortable with CI/CD (we use GitHub Actions) Pipelines
● Experience with Git version control, and other software adjacent tools
● Terraform used as Infra as service tool.
