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Data Engineer
Data Engineer
Why join our team? We offer you:
- Growth opportunities, clear development plan, and an expert mentor to help you get started
- Full training and peer-to-peer feedback every step of the way
- Performance-based and yearly bonuses, paid overtime, 100 % salary during illness
- Additional health insurance
- Periodic internal presentations (e.g. technical, business, HR related), or necessary external trainings covered by the company
- Possibility of remote work
- Comfortable schedule: you can choose to start at 9:00 or 10:00 (Monday - Friday)
- Catered lunches, tasty days, big selection of beverages & free breakfasts
- Half a day off on your birthday
- Gym compensation program
- Budget for language courses
- Regular team events, corporate traditions (e.g. birthday celebrations, Secret Santa, happy hour and many others)
What you’ll do:
- Design, develop, and maintain a scalable Data Warehouse or Data Platform.
- Collaborate with stakeholders to gather requirements and understand business needs.
- Build ETL (Extract, Transform, Load) processes to integrate data from various sources.
- Ensure data quality, integrity, and security across the data platform.
- Develop and optimize SQL queries for data extraction and analysis.
- Create and maintain comprehensive documentation for the data architecture and processes.
- Perform data analysis to support business decision-making.
- Implement data governance best practices.
- Stay updated with the latest industry trends and technologies in data science and data engineering.
What you need:
- Education: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- Experience: Proven experience (3+ years) as a Data Scientist or Data Engineer.
- Hands-on experience with building and maintaining Data Warehouses or Data Platforms.
- Experience with ETL tools and processes.
- Strong programming skills in Python, R, or similar languages.
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle, Clickhouse).
Technical Skills:
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Experience with data visualization tools (e.g., Tableau, Superset).
- Experience with Apache Airflow
- Familiarity with data modeling and database design.
- Understanding of data governance, data quality, and data security best practices.
Soft Skills:
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced and dynamic environment.
- Preferred Qualifications:
- Certifications: Relevant certifications (e.g., AWS Certified Big Data - Specialty, Google Cloud Professional Data Engineer).
- Experience:
- Experience with NoSQL databases.
- Experience with machine learning and data mining techniques.
P.S. Lack of confidence can sometimes hold us back from applying for a job. We'll let you in on a secret: there's no such thing as a 'perfect' candidate.
Salt Edge is a place where everyone can grow. Whatever background you bring with you, we encourage you to apply if this is a role that would make you excited to come to work every day.
Please submit your cv to our ATM here: https://saltedge.peopleforce.io/careers
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CV-ul tău a fost trimis cu succes! 🥳