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Data Engineer
2 months ago
We are looking for a skilled Data Engineer to join our dynamic team. You will be responsible for building and maintaining the infrastructure necessary for the extraction, transformation, and loading (ETL) of data from various sources. The ideal candidate should be adept at designing scalable data pipelines, ensuring data quality, and collaborating with other teams to support data-driven decision-making.
You will have a strong bias for action and a growth mindset. You thrive in unstructured environments and can juggle multiple priorities. You are highly self-sufficient, adaptive and embrace challenges and uncertainty. You have a ‘can-do’ attitude and can demonstrate specific examples of how your grit and tenacity have helped you succeed in your prior roles.
Responsibilities
- Design, develop, and maintain robust and scalable data pipelines to process large volumes of data.
- Implement ETL processes to gather, clean, and integrate data from various sources.
- Optimize and manage data storage solutions such as data warehouses and data lakes.
- Ensure data quality and integrity through validation and monitoring processes.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver appropriate solutions.
- Troubleshoot and resolve issues related to data processing and infrastructure.
- Develop and maintain documentation related to data engineering processes and systems.
- Stay updated with the latest trends and technologies in data engineering and implement best practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Proven experience (7+ years) as a Data Engineer or in a similar role.
- Strong programming skills in languages such as Python, Java, or Scala.
- Proficiency in SQL and experience with database management systems (e.g., MSSQL, MySQL, PostgreSQL).
- Familiarity with ETL tools and data integration techniques.
- Knowledge of cloud platforms (AWS) and their data services (e.g., Redshift).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with real-time data processing technologies (e.g., Kafka).
- Understanding of data governance and security best practices.
- Experience with machine learning workflows and data science tools.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to work collaboratively in a team environment.
What we offer you in return
- Play a key role in the expansion of a SaaS business
- Collaboration with international offices on global projects
- Backing from senior management to be disruptive – for positive outcome
- Competitive salary/rate
- Potential to progress your role as we continue to expand
- Continuously and consciously working to ensure an empowering, team-oriented, and politically free environment.
And employee benefits such as
- Medical, Dental & Vision Insurance
- Stock Options
- 401k plan with company match
- Generous holidays/Paid Time-off
- Additional wellness day-off per month
About Us
HireRoad is a leading global provider of HR solutions spanning recruitment, onboarding, learning, and analytics software. Driven by PeopleInsight, our best-in-class people analytics solution, we aim to power companies with better people data. Our mission is to help our customers maximize the impact of their HR technology through a deeper understanding and optimization of their most significant investment– their people. With nearly 400 customers across the United States, Australia, United Kingdom, and Canada markets, HireRoad empowers HR teams to maximize their impact through actionable data-driven insights, customized support from our team of experts, and a transparent, cost-effective approach to meet companies where they are at in their people data journey.
We at HireRoad, celebrate diversity and are dedicated to creating an inclusive environment for all employees. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and marital status, race or religion. We adhere to these principles in all aspects of employment, including recruitment, hiring, advancement, training, discipline, or discharge. HireRoad will not tolerate discrimination or harassment based on any of these characteristics.