Data Engineer

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DATA ENGINEER at a Data Consultancy & Data Solutions Provider

JOB OVERVIEW

Join Avinity Analytics where we focus on providing you with the best training and education in data engineering, as well as relevant data projects that will help you gain the necessary experience to advance your career. There are multiple vacancies available for senior data engineers with 2 to 4 years of experience, to learn and execute data projects at a basic and advanced level. You will be developing essential data engineering know-how in our 3 year Data Development Program, whilst executing data solutions for mid-size to enterprise clients. Your data engineering skills will be applied in data analytics, data automation, and machine learning & AI projects. Working at a data consultancy with a flexible working environment and a continuous learning culture, you will gain significant improvements in your data engineering skillsets. Through solving real business challenges with data, you will be implementing the latest data software and technologies to drive data adoption and innovation. If you have a great interest to be involved in a variety of data projects and would like to take your data skills to the next level, you are encouraged to apply.

RESPONSIBILITIES

• Create and maintain optimal data pipeline architecture via scheduling and authoring tools such as Airflow & dbt.
• Wrangling large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Build the data infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL including Google, Microsoft & AWS cloud data / serverless technologies.
• Build analytics models that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

REQUIREMENTS

Big data storage & transform tools : Hadoop, Spark, Kafka, Snowflake, BigQuery.

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