Lingaro

Azure Data Engineering Architect - Freelance (Part-time)

Brak informacji o wynagrodzeniu

SeniorZdalniePart-time

#453677·Dodano 22 dni temu·6

Źródło: nofluffjobs.com

Aplikuj teraz

Tech Stack / Keywords

Azure Python ETL PySparkData engineeringSQL Big data

Firma i stanowisko

Lingaro is an established global technology partner operating since 2008 with over 1,600 professionals across 7 global locations.

Wymagania

Proven work experience as a Data Engineering Architect or a similar role in the Data & Analytics area.
Strong understanding of data engineering concepts including data modeling, ETL processes, data pipelines, and data governance.
Expertise in designing and implementing scalable and efficient data processing frameworks.
In-depth knowledge of data technologies and tools such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark).
Experience selecting and integrating technologies to meet business requirements and long-term data strategy.
Ability to translate business needs into data engineering solutions.
Strong analytical and problem-solving skills.
Proficiency in Python, PySpark, SQL.
Familiarity with cloud platforms and services including AWS, GCP, or Azure with experience in designing cloud data solutions.
Knowledge of data governance principles, data privacy, and security regulations.
Excellent communication and collaboration skills.
Experience leading and mentoring data engineering teams.
Familiarity with agile methodologies.
Continuous learning mindset to stay updated with data engineering advancements.
Strong project management skills including prioritization and timeline management.
Strong understanding of distributed computing principles such as parallel processing, data partitioning, and fault-tolerance.
Bachelor's degree in Computer Science, Information Technology, or related field; Master's degree preferred.

Obowiązki

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions.
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices.
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity.
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis.
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions.
Ensure that data engineering solutions align with the organization's long-term data strategy and goals.
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures.
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting.
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables.
Support the team throughout the implementation process, answering questions and addressing issues as they arise.
Oversee the implementation of the solution, ensuring it conforms to design documents and technical specifications.
Stay updated with emerging trends and technologies in data engineering, recommending and implementing innovative solutions as appropriate.
Conduct performance analysis and optimization of data engineering systems, identifying and resolving bottlenecks and inefficiencies.
Ensure data quality and integrity throughout the data engineering processes, implementing appropriate validation and monitoring mechanisms.
Collaborate with cross-functional teams to integrate data.

Benefity

Flexible collaboration model and working hours.
Remote work policy allowing work from inspiring locations.
Autonomy to choose the way of working.
Equipment typically provided by the company or access to virtual machines.
Part-time freelance agreement (up to 50% full-time workload).

Inne informacje

Open-ended freelance agreement requiring active sole proprietorship (B2B) throughout the engagement. Position is remote and part-time with flexible hours.

Lingaro

5 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz