Cloud Data Engineer

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

• 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.

Qualifications for Data Engineer

• 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 skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 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. They 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.

Salary: 30000 per annum +benefits