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Big Data Engineer

The Why

As the first Big Data Engineer, working with the Head of Data Science you are presented with an opportunity to really name your mark and impact this orginization. Right now, this organisation have an assorted data pipeline, and are looking for someone to build the pipeline from scratch which will scale as the company grows.

The What

Support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

You will be responsible for expanding and optimizing their data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

Build analytics tools 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 Engineering, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep data separated and secure across national boundaries through multiple data centers and AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Work with data and analytics experts to strive for greater functionality in data systems.

The How

5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

You will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

You will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong analytic skills related to working with unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Strong project management and organizational supporting and working with cross-functional teams in a dynamic environment.

You should also have experience using the following software/tools:

Experience with big data tools: Hadoop, Spark, Kafka, etc.

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Experience with AWS cloud services: EC2, EMR, RDS, Redshift

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Sydney

Good Folk

Interested?

Send your CV to Jessica@joingoodfolk.com
https://www.joingoodfolk.com/big-data-engineer/

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