[Only 24h Left] Data Engineer

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Job Title: Data Engineer

Job Type: Permanent

Job Location: Dublin , Ireland

Job Description:

Mandatory skills :

High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platform.

Experience in cloud technologies like Databricks/AWS/Azure.

Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

Requirements

We are looking for an innovative data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers.

Position Responsibilities:

Play a large role in the implementation of complex features

Push the boundaries of analytics and powerful, scalable applications

Build and maintain analytics and data models to enable performant and scalable products

Ensure a high-quality code base by writing and reviewing performant, well-tested code

Mentor junior engineers and teammates

Drive innovative improvements to team development processes

Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Collaborate across teams with exceptional peers who are passionate about what they do

Ideal Candidate Qualifications:

full stack engineering experience in an agile production environment

Experience leading the design and implementation of large, complex features in full-stack applications

Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it

Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses

High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms

Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

Experience in cloud technologies like Databricks/AWS/Azure

Strong technologist with proven track record of learning new technologies and frameworks

Passion for analytical / quantitative problem solving

Experience identifying and implementing technical improvements to development processes

Collaboration skills with experience working with people across roles and geographies

Motivation, creativity, self-direction, and desire to thrive on small project teams

Superior academic record with a degree in Computer Science or related technical field

Strong written and verbal English communication skills

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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