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Data Engineer

You will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross functional teams. A seasoned data pipeline builder and data wrangler who likes streamlining and constructing data systems from scratch is the perfect applicant.

About the Role

Job Location

Remote

Employment Type

Full Time

Requirements

  • SQL – Proficiency in SQL to extract data for business purpose is an important aspect of a data engineer’s daily routine

  • Programming Skills – Knowledge of programming languages like Python would be necessary to write maintainable, reusable, and complex functions

  • Cloud technologies – Expertise with popular cloud platforms such as AWS, Azure, GCP etc. which enable the solutions to be agile, innovative, and scalable is essential

  • Data warehousing – Good knowledge of DWH would come in very handy while designing a system integrating multiple data sources

  • Excellent Communication Skills – Comfortable in describing findings to a technical and non-technical audience

  • Team player – Being a good team player come in handy to successfully execute an end-to-end project

Roles & Responsibilities

  • Build data pipelines to automatically extract data from various databases containing structured and/or unstructured data

  • Analyse and organise data to combine information coming from different data sources in an efficient manner

  • Maintain data quality and reliability and explore ways to improve them

  • Explore different technologies to recommend best-in-class solution for specific project needs

  • Collaborate with Business and IT teams to deploy the solution at scale

  • Collaborate with data scientists and data analysts to understand the big picture and come-up with additional data collection/acquisitions

Career Path

  • Data Analyst – Trainee (avg. 6 months)

  • Data Engineer (avg. 1 year)

  • Sr. Data Engineer (avg. 2 years)

  • Manager – Data Engineering (avg. 2 years)

  • Director – Data Engineering

Think you have what it takes?
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