Technical Lead Platform and DataLake Engineer Bucharest

Technical Lead Platform and DataLake Engineer
Bucureşti
Bucharest, Bucharest, Romania

Job Location: 100% remote in Romania

Recruitment process: 

• HR Screening 
  
• Technical Interview

Role description:

We are looking for a talented Senior/TL Platform and Data
Lake engineering in who will not only write code but also deliver exceptional product capabilities for our clients. Your contributions will play a pivotal role in achieving our passion for client success, solidifying our position as a leading product development services company.

Responsibilities:

• Develop a
  - edge application for our customers.
• Design and implement scalable foundational services to support data pipeline processing, search functionality, user management, and other
  - facing features.
• Work on ML infrastructure and Generative AI applications to advance scientific use cases.
• Build and deliver
  - quality products using Agile software development methodologies.
• Engage in continuous learning, growth, and professional development.
• Articulate your vision to peers and leadership while being open to constructive feedback and maintaining resilience.

Profile: 

• 8+ years of experience in the software development industry, preferably in data engineering, data warehousing and data analytics companies and teams.
• Experienced in designing and implementing complex, scalable data pipelines/ETL services.
• Expert level of Javascript, Python and Typescript.
• Extensive in
  - based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
• Expert level of understanding and
  - on experience with Lake House architecture.
• Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.

• Knowledge of basic Dev
  Ops and MLOps principles
• 3+ years of experience with the Data
  Bricks ecosystem.
• Expert level of experience with Spark/Glue and Delta tables/iseberg.
• Working knowledge of Snowflake
• Experience in working with Data Scientists and ML Developers
• Hands-on experience with data warehousing solutions and ETL tools.