Senior Data Engineer

Paytech Nexus; Sydney; Hybrid; AUD 140,000 - 180,000; Full time

Job summary

Paytech Nexus is seeking a Senior Data Engineer to join one of Australia's leading Data Engineering teams in Sydney. You will design and build data ingestion, transformation, and data pipeline solutions using Scala, Java, or Python in a Hadoop/Spark environment.

You will mentor other engineers, partner with stakeholders in an Agile setting, and help drive multi-year data transformational initiatives across enterprise platforms such as Teradata and RDBMS. Hybrid Sydney work arrangement offered.

Qualifications

• 5+ years hands-on Data Engineering experience.
• Experience with Hadoop/Spark/Kafka/Sqoop, data pipelines.
• Strong Unix/Linux scripting and SQL.
• Experience leading and mentoring data engineers.
• Agile team experience with stakeholders.
• Knowledge of Teradata/Oracle/RDBMS is a plus.
• Cloudera CDP, Hadoop, Spark, Teradata, AWS Ab Initio certifications are a plus.
• Experience with AWS services (EMR, Redshift, S3) is a plus.

Responsibilities

• Design and deliver enterprise data ingestion and integration pipelines.
• Lead and mentor data engineers on projects.
• Collaborate with stakeholders in Agile teams.
• Ensure data quality and security controls.
• Assess and implement big data and data warehouse platforms.
• Build scalable data products from multiple sources.

Tools

Hadoop

Spark

MapReduce

Sqoop

Kafka

Hive

Teradata

Oracle

RDBMS

Cloudera CDP

AWS (EMR/Redshift/S3)

Ab Initio

Job description

• Opportunity to work with one of the largest and most advanced Data Engineering teams in the country

• 12 month contract opportunity
• Start - ASAP
• Location - Sydney (hybrid)
• 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.

We are seeking people who are:

• Passionate about building next generation data platforms and data pipeline solution across the bank.
• Ready to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks.
• Capable to create both technology blueprints and engineering roadmaps, for a multi-year data transformational journey.
• Are experienced in providing data driven solutions that source data from various enterprise data platform into 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 system.
• Are experienced in building effective and efficient Big Data and Data Warehouse frameworks, capabilities, and features, using common programming language (Scala, Java, or Python), with proper data quality assurance and security controls.
• Are experienced in designing, building, and delivering optimised enterprise-wide data ingestion, data integration and data pipeline solutions for Big Data and Data warehouse platforms.
• Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.
• Can lead and mentor other data engineers in a project work or initiative.
• Have experience and responsible for data security and data management.

Technical skills

• Experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using common programming language (Scala, Java, or Python) in a Big Data and Data Warehouse platform. Preferably with at least 5+ years of hands-on experience in a Data Engineering role.
• Experience in building data solution in Hadoop platform, using Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data storage and processing. Preferably with at least 5+ years of hands-on experience.
• 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 working closely with internal business stakeholders.
• Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS system is a plus.
• Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS, Ab Initio is a plus.
• Experience in Ab Initio software products (GDE, Co>Operating System, Express>It, etc.) is a plus.
• Experience in AWS technology (EMR, Redshift, DocumentDB, S3, etc.) is a plus.