Data Engineer

1 week ago

Dublin, Dublin City, Ireland Workhuman Full time

Job Description:

The Opportunity

The Data Engineer will join a team developing a world-class data platform to support our customers, products, researchers, and back-office teams.You'll join a team of Data Engineering and QA specialists empowered to define ways of working that work best for all.You'll be adding features, developing data pipelines, automating the ETL of complex data and designing and configuring platform solutions that support a wide variety of applications.You'll have the freedom to learn from a team of highly experienced data specialists and to produce innovative solutions in response to unique challenges and help us use data to make work more human.

We invite you to 'Join Our Force for Good' by elevating humans' sense of connection, meaning, and performance in the workplace, all through one of the most powerful forces for good in their lives: recognition. More specifically, we empower teams and organizations through the world's #1 employee recognition platform, Social Recognition.

What we can offer you:

You will design and implement the data storage model, defining the rules for data governance, data quality and the data lifecycle. 

You will work closely with your peer engineers, Information Architects, Product Owners, and Data Platform stakeholders, ensuring high level designs. 

Be responsible for ingesting data into our data lake and for providing frameworks and services for operating on that data. 

Design and support data pipelines and recommend improvements and modifications. 

Build the process required for optimal extraction, transformation, and loading of data from a wide variety of data sources. 

Develop and implement processes to ensure data accuracy and integrity. 

Collaborate closely with our cloud infrastructure team, Information Security and Data Administration team on shared items of work.

You will proactively ensure code reviews are prioritized to help unblock the team's work. 

The skills you will bring:

You have exceptional coding and design skills, particularly in Python and preferably, Spark. Knowledge of Java is beneficial.

You are proficient with SQL.

You've worked with large data volumes, including processing, transforming, and transporting large-scale data. Ideally, 3+ years of experience.

You have hands-on experience with AWS services like Data Pipelines, EMR, Glue, Redshift, S3 etc. or other equivalent services.

Experience with IAC, terraform is strongly preferred.

You have knowledge of dbt, HBase, Apache Spark, Spark streaming, Kafka, Scala, and similar technology stacks. 

You have some familiarity with data warehouse concepts such as star schema and data de-normalizing patterns. 

Achievements

Successfully built scalable, data-centric systems with minimal guidance, demonstrating strong problem-solving and autonomous development skills.

Collaborated as part of an established engineering team, successfully following agile methodologies to deliver high-quality solutions.

Fostered strong relationships within teams, utilizing effective communication to drive collaboration and successful project outcomes.

Adopted an analytical and strategic mindset, consistently focusing on delivering results and executing data-driven solutions.

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