Cloud Data Engineer: Architect Scalable Data Pipelines

HR Partner; West of England; On-site; GBP 27,000 - 33,000; Full time

Job summary

HR Partner is seeking a Data Engineer to create and maintain scalable data pipelines using SQL and AWS big data technologies. You will assemble complex datasets to meet business requirements and drive analytics across customer acquisition and operational metrics.

The role requires 5+ years in data engineering with a graduate degree in a quantitative field, plus experience with Hadoop/Spark/Kafka and AWS services.

Qualifications

• Advanced working SQL knowledge with relational databases; proficient query authoring.
• Experience building and optimizing big data pipelines, architectures, datasets.
• Root cause analysis on data/processes to answer business questions.
• Strong analytics with unstructured datasets.
• Data transformation, metadata, dependency and workload management.
• Experience extracting value from large disconnected datasets.
• Knowledge of message queuing, stream processing, scalable big data stores.
• Strong project management and ability to work with cross-functional teams.

Responsibilities

• 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 Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our 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 our data systems.

Skills

Advanced SQL

Big data pipelines

Root cause analysis

Analytical skills

Cross-functional collaboration

Project management

Python

Java

C++

Scala

Education

Graduate degree in CS/Statistics

Tools

Hadoop

Spark

Kafka

Postgres

Cassandra

Azkaban

Luigi

Airflow

AWS (EC2/EMR/RDS/Redshift)

Storm

Spark Streaming

Python

Java

C++

Scala

Job description

HR Partner is seeking a Data Engineer to create and maintain scalable data pipelines using SQL and AWS big data technologies. You will assemble complex datasets to meet business requirements and drive analytics across customer acquisition and operational metrics.

The role requires 5+ years in data engineering with a graduate degree in a quantitative field, plus experience with Hadoop/Spark/Kafka and AWS services.