Data Engineer
Arclytics is seeking a skilled and analytical Data Engineer to join our team of database and cloud architecture consultants. You'll play a pivotal role in building and implementing data pipelines that unlock the power of information for our clients.
Are you the architect of insights we're searching for?
Responsibilities:
- Design and develop efficient data pipelines using ETL/ELT processes, ensuring seamless data integration and transformation.
- Leverage your expertise in Python, SQL, and cloud scripting languages to wrangle, cleanse, and model data for analysis.
- Collaborate with data scientists and business analysts to design, build, and deploy machine learning models that deliver actionable insights.
- Utilize your cloud infrastructure knowledge to design and implement scalable data solutions that accommodate evolving client needs.
- Adhere to strict security protocols and implement robust data protection measures to ensure client data integrity.
- Effectively communicate complex technical concepts to clients and colleagues, fostering strong collaboration and alignment.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
- Proven experience in data engineering/analysis, with proficiency in ETL/ELT processes and data modeling techniques.
- Strong understanding of Python, SQL, and experience with cloud scripting languages (e.g., AWS Lambda, Azure Functions).
- Familiarity with machine learning concepts and experience with cloud-based model development platforms is a plus.
- Excellent communication and collaboration skills, with the ability to translate technical concepts into understandable language for diverse audiences.
- Strong analytical and problem-solving skills with a passion for data and its potential to unlock business value.
To apply for this role, please send your CV to hello@arclytics.de or contact us via contact form:
