AWS Data Engineer
Since 1998, we've been active in the Human Resources consulting market, providing regional coverage across four key areas of expertise: recruitment and selection, personnel leasing, assessment centers and consultancy. As leaders in Transylvania, we've expanded our reach to embrace a culture of continuous improvement, thereby strengthening our position in the Romanian and also regional market. This commitment underscores our dedication to evolve alongside the dynamic needs of our clients and the
- changing landscape of the business environment.
Our success stems from the professionalism of our services, the multidisciplinary expertise of our consulting team and our ongoing collaboration with those who rely on our consultancy services.
Building
- term partnerships with clients across diverse industries such as IT&C, automotive, outsourcing, pharma, banking, FMCG and more, is our primary objective.
Our commitment to client orientation, teamwork, flexibility, excellence, dedication and responsibility reflects our aim to bring added value to our services.
Tasks- You will design, build, implement and deliver scalable AWS Cloud solutions
- You will collaborate with both business and IT partners from the automotive industry and beyond to efficiently translate business needs to technical specifications
- You will engage in
- facing projects to design, execute and implement backend data solution - You will be a trusted advisor for our growing team, contributing to the development strategy and project leadership
Qualifications
- facing projects to design, execute and implement backend data solution
Must haves:
- Strong experience in Python (Pandas, Numpy), Py
Spark and AWS services (S3, Glue, Lambda, Kinesis, Athena, Redshift and AWS CDK and Type
Script as infrastructure definition language) - Relevant experience in developing data ingestion pipelines in working with AWS Glue
- Relevant programming experience and knowledge of fully distributed systems
- Proven experience in optimizing data models concerning partitions, sorting and other
- critical table properties - Basic knowledge of data science (statistics, artificial intelligence, machine learning, deep learning)
- Bachelor's Degree in Computer Science or a related field is preferred.
Nice-to-haves:
- Experience in the design and implementation of data models
- Stakeholder management skills, very good communication skills
Things to know before departure:
- Start: by arrangement - always on the 1st and 15th of the month
- Working hours: full-time ( 40h); 27 vacation days
- Employment contract: Unlimited
- Line of work: Consulting
- Language skills: Fluency in written and spoken English; German is a plus
- Flexibility & willingness to travel
- Other: a valid work permit
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