Senior Data Engineer

PayTech Nexus Ltd; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

A leading data solutions company is seeking a Senior Data Engineer to work with one of the largest Data Engineering teams in Australia. You will develop data platforms and pipelines, utilizing technologies such as Spark and Hadoop, while leading and mentoring a team of engineers. Ideal candidates will have over five years of relevant experience and a passion for data-driven solutions.

Qualifications

• 5+ years experience in a Data Engineering role.
• Strong Unix/Linux shell scripting skills.
• Proficient in SQL scripting for data pipelines.

Responsibilities

• Execute high-quality coding practices for data solutions.
• Design and deliver optimized data pipeline solutions.
• Lead and mentor data engineers.

Skills

Scala

Java

Python

Hadoop

Spark

MapReduce

SQL

ETL Frameworks

Data Pipeline Development

Tools

Cloudera

AWS

Ab Initio

Teradata

Job description

Overview

Opportunity to work with one of the largest and most advanced Data Engineering teams in the country. As a Senior Data Engineer with expertise in software development / programming and a passion for building data-driven solutions, you\'re ahead of trends and work at the forefront of Big Data and Data Warehouse technologies.

Responsibilities

• Passionate about building next generation data platforms and data pipeline solutions across the bank.


• Execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks.


• Create both technology blueprints and engineering roadmaps for a multi-year data transformational journey.


• Provide data driven solutions that source data from various enterprise data platforms into a Cloudera Hadoop Big Data environment, using technologies like Spark, MapReduce, Hive, Sqoop, Kafka; transform and process the source data to produce data assets; and transform and egression to other data platforms like Teradata or RDBMS systems.


• Build effective and efficient Big Data and Data Warehouse frameworks, capabilities, and features, using languages such as Scala, Java, or Python, with data quality assurance and security controls.


• Design, build, and deliver optimized enterprise-wide data ingestion, data integration and data pipeline solutions for Big Data and Data Warehouse platforms.


• Lead and mentor other data engineers in a project or initiative.


• Have experience and responsibility for data security and data management.

Technical skills

• Experience designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using Scala, Java, or Python in Big Data and Data Warehouse platforms; preferably 5+ years in a Data Engineering role.


• Experience building data solutions on Hadoop with Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data storage and processing; preferably 5+ years.


• Strong Unix/Linux shell scripting and programming skills in Scala, Java, or Python.


• Proficient in SQL scripting, writing complex SQLs for building data pipelines.


• Experience in leading and mentoring data engineers, including ownership of internal business stakeholder relationships and working with consultants.


• Experience in working in Agile teams, including collaboration with internal business stakeholders.


• Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS systems is a plus.


• Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS, Ab Initio is a plus.


• Experience with Ab Initio software products (GDE, CoOperating System, ExpressIt, etc.) is a plus.


• Experience with AWS technologies (EMR, Redshift, DocumentDB, S3, etc.) is a plus.