Cloud Data Engineer
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Responsibilities
Operate Data Platforms (Big Data, hybrid, on‑premises or cloud), implementing batch or real‑time processing pipelines, transformation and processing of structured and unstructured data.
Be responsible for acquisition, historization, cleansing, anonymization/crypting/masking, handling nulls and outliers, aggregation, structuring of unstructured data, creation of KPI quality metrics, data preparation for various users.
Receive Machine Learning models from Data Scientists, optimize for scale (parallelization), integrate and schedule for efficient automated execution.
Work with technology choices, preferring cloud native, scalable architectures. Act as an evolving expert to select the best technologies for complex pipelines, maximizing reusability, quality, efficiency, performance, documentation and order.
Provide advisory to select engineering technologies within emerging Big Data architectures or to improve existing ecosystems with performance, quality and reuse issues.
Demonstrate and evolve customer‑relationship skills, ensuring best solutions align with client requirements.
Contribute to community with research, scouting, concept development and business development.
Qualifications
* Experience in implementing and managing cloud‑based data platforms.
* Knowledge of one or more cloud platforms (Google GCP, Amazon AWS, Microsoft Azure) and supporting data management, processing and analytics services.
* Knowledge of modern data‑platform concepts (Big Data, Data Lake, Data Warehouse, Data Virtualization, Data Mesh, Data Governance, etc.).
* Experience designing data models and building/maintaining ETL pipelines.
* Knowledge of programming/query languages (SQL, Java, Ruby, Python, R, etc.).
* Deep understanding of technologies for structured/unstructured database management (BigQuery, MongoDB, Hadoop, Redis, etc.).
Plus
* Google Professional Data Engineer certification.
* Data Engineering on Microsoft Azure qualification.
* AWS Certified Big Data – Specialty.
Benefits
Crescita e Formazione – Over 300 courses on emerging technologies, personalized development programs, and training initiatives.
Flessibilità e Work-Life Integration – Agile work with remote options, Bank of Solidarity hours to support colleagues, culture that fosters work‑life balance.
Salute & Benefits – Health insurance, discounted check‑ups, wellness platforms, additional welfare plan, restaurant tickets.
Famiglia e Genitorialità – Full integration for first 3 months of parental leave or one‑time bonus, extra days for fathers, support during leave and return.
Inclusione e Valori – Promote uniqueness, provide equal opportunities, active policies for protected categories (L. 68/99).
Next Steps
Upon receipt of your CV, we will evaluate it carefully. If there is a match with this or other positions within the Group, we will contact you to begin our mutual acquaintance.
About BIP
Nato nel 2003, BIP is a Center of Excellence specialized in consultancy and innovative services in Big Data, Data Science, RPA, Cloud, Blockchain, and Networking, with over 5000 professionals across 13 countries.
We help clients achieve difference through quality at scale, guided by the pillars of Value, People, and Technology.
We value excellence as a compass for our actions, adopting an ethical and fair approach in engaging with those who choose to work with us, fostering a growing environment for diverse skill sets.
Job Information
Seniority level: Not Applicable
Employment type: Full-time
Job function: Information Technology / Industries: Business Consulting and Services
Location: Rome, Latium, Italy
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