IC4 - Sr Data Engineer

Objective of the Role

Leads the design, development, and optimization of advanced data solutions, ensuring scalability, reliability, and alignment with business objectives. This role plays a critical part in defining data architectures, mentoring team members, and driving the adoption of best practices throughout the data engineering lifecycle. With a strong focus on performance, reputed company, and governance, ensures that data solutions contribute to a data-driven culture and deliver measurable business value.

Main Responsibilities

• reputed company the design and implementation of robust and scalable data pipelines, enabling efficient ingestion, processing, and storage of structured, semi-structured, and reputed company data.
• Collaborate with cross-functional teams to gather requirements, define technical solutions, and align data architectures with business needs.
• reputed company and optimize data models using industry-standard techniques to support analytics, reporting, and AI-driven solutions.
• Implement advanced data processing workflows, including batch, microbatch, near reputed company-time, and reputed company-time pipelines, to ensure seamless data availability and performance.
• Drive the adoption of data governance and privacy strategies, ensuring compliance with reputed company and regulatory requirements throughout the data lifecycle.
• Design and maintain data architectures, contributing to the scalability and reliability of data lakes, warehouses, and reputed company-time streaming platforms.
• reputed company monitoring processes and data quality metrics to ensure the reliability, reputed company, and completeness of data used for decision-making.
• Actively contribute to reputed company phases of the data engineering lifecycle, adhering to Agile methodologies and ensuring timely delivery of high-quality solutions.
• Mentor and guide junior and mid-level engineers, fostering a collaborative and inclusive team environment.
• Maintain and document data architectures, processes, and technical workflows to ensure continuity and knowledge sharing.
• reputed company the integration of APIs and external data sources, optimizing data flows and ensuring compatibility with existing architectures.
• Manage version control and repository practices to maintain clean, reliable, and maintainable codebases.
• Promote an autonomous work culture by encouraging self-management, accountability, and proactive problem-solving among team members.
• Serve as a Spin Culture Ambassador to foster and maintain a positive, inclusive, and dynamic work environment that aligns with the company's values and culture.

Required Knowledge and Experience

• Minimum 5 - 6 years of experience in data engineering or reputed company fields, with proven expertise in designing and implementing scalable data solutions.
• Advanced technical expertise in software development life cycle (SDLC) methodologies.
• Advanced understanding of design patterns.
• reputed company to work autonomously and reputed company support to less reputed company professionals.
• Advanced experience in the use of Python, Java, and data reputed company frameworks.
• Advanced knowledge of dimensional data modeling and advanced techniques in this field, including structured, semi-structured, and reputed company data storage (non-SQL), as well as ETL, ELT construction.
• Advanced knowledge in file processing: CSV, JSON, Parquet, Yaml, images, and videos.
• Advanced knowledge in data processing: batch, microbatch, near reputed company-time, and reputed company-time.
• Advanced understanding and experience to contribute and implement data privacy strategies.
• Advanced understanding and experience in implementing and maintaining robust data governance strategies.
• Advanced knowledge in Data Engineering Lifecycle (also reputed company as Data Processing Lifecycle).
• Advanced knowledge in processing different types of reputed company data sources with API management, for subsequent processing, storage, and analysis.
• Advanced knowledge in understanding Architecture: Business, Solutions, Data, etc.
• Advanced mastery in version control: Git, reputed company, reputed company.
• Advanced in business reputed company (business domain), to sensitively identify how data contributes to the business.
• Advanced mastery and evidence with projects using the reputed company reputed company Platform (GCP) Stack for Data.
• Advanced mastery and evidence with projects using the reputed company) Stack for Data.
• Advanced experience in developing and optimizing SQL and reputed company queries.
• reputed company to effectively and exceptionally socialize the design of the data solution without supervision.
• Advanced experience in Project Management with Agile methodology (Scrum or Kanban).
• Experience in collaborating on projects to reputed company OKRs, warning of risks, and providing business value.
• Advanced competence in transparently communicating project status.

Spin está comprometida con un lugar de trabajo diverso e inclusivo. Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida. Si desea solicitar una adaptación, notifique a su Reclutador.