Mid Data Engineer
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Job Description
Data Engineer building a state-of-the-art data platform using open-source technologies. Collaborating on ETL processes and scalable transactions for a leading financial institution.
Responsibilities:
- Contribute expertise to the overall data eco-system’s engineering best practices, standards, and architectural approaches.
- Collaborate in authoring, reviewing, and approving data requirements and designs, including ETL, data movement, pipelines, business intelligence, and analytics.
- Work alongside a team of engineers to build and maintain a custom data platform and Master Data platform.
- Participate in creating architecture and solution blueprints to meet client requirements.
- Collaborate with the project management team to develop the overall implementation solution plan and actively contribute to project life cycle phases within the solution area.
- Engage with data integration technologies to design and implement new solutions and processes to support evolving data management strategies.
- Work closely with business and technology client representatives to gather functional and technical requirements.
- Stay informed about the latest technology trends, particularly in the areas of data platforms.
Requirements:
- 3+ years of experience in data engineering.
- Proficiency in programming language Python/R.
- Knowledge of SQL for working with databases.
- Knowledge of data modeling concepts and the ability to design and implement efficient data storage structures.
- Experience with ETL processes and tools, in this case, Apache Airflow.
- Familiarity with version control systems like Git for code collaboration and tracking changes.
- 3+ years of experience in working with Kubernetes and Docker.
- Understanding of data warehouse concepts and experience working with dbt.
- Understanding of cloud-based data storage and processing services.
- Knowledge of data quality assurance and governance best practices.
- Understanding of data privacy and security considerations.
- Effective communication skills to collaborate with cross-functional teams and stakeholders.
- Strong problem-solving skills and the ability to troubleshoot issues in data pipelines.
- Familiarity with Agile methodologies and ability to work in a collaborative team environment.
- Proficiency in English language.
Benefits:
- Fully remote work with flexible work hours and vacation policy.
- A diverse international work environment that promotes inclusivity and collaboration.
- Internal mentorship program.
- Additional healthcare insurance, loyalty days.
- Compensated professional development opportunities, including learning materials and certification exam fees.
- Internal events like Reiz Tech Talks and Learning Sessions.
- Team-building compensation every quarter.
- Participation in local events in Lithuania such as wakeboarding, excursions, and Meet and Eat gatherings.
- Ability to change the project you’re working on.
- Referral bonuses.
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