Bachelor’s degree in Computer Science or related field, 8–10 years of experience in data engineering, Strong background in programming languages like Python, Java or Scala, Experience with big data technologies such as Spark and Hadoop.
Key responsabilities:
Implement large-scale data engineering projects
Lead and mentor team members in technical skills
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Argano is the world’s largest global digital consultancy exclusively connecting design and delivery for the transformation of high-performance business operations, extending our clients’ commercial agility, profitability, customer experience, and growth. Our strategic consulting, bolstered by proprietary IP, provides a comprehensive view of business operations, pinpointing areas of strength and unveiling opportunities for improvement. Then, with our global talent and guided by industry experts, we lead in operational design and technology delivery across business applications, cloud, data and analytics, automation, operational technology, and AI, spanning all major software publishers.
The Lead Data Engineer plays a critical role in designing and delivering scalable data solutions while leading and mentoring team members to grow the Data practice. This position requires a balance of technical expertise, leadership, and a strong focus on collaboration with onsite teams.
The ideal candidate will inspire and guide team members, foster a culture of learning, and drive the adoption of best practices to elevate the capabilities of the Data practice. This role also includes ensuring timely handoffs and maintaining strong relationships with global stakeholders.
Responsibilities
Implement large size, complex data engineering projects.
Define and execute the data engineering strategy for the organization.
Collaborate with leadership to align data initiatives with business goals.
Evaluate and implement new technologies and methodologies.
Ensure the scalability, reliability, and security of data solutions.
Lead the design and development of scalable and robust data architectures.
Collaborate with cross-functional teams to define data strategy and requirements.
Optimize and tune data pipelines for performance and efficiency.
Recommend and deploy data models and solutions for existing data systems.
Lead and mentor team members to enhance their technical skills and achieve their professional goals.
Establish and promote best practices in data engineering, fostering a culture of excellence and continuous improvement and continuous improvement
Drive the development of the Data practice by upskilling team members and creating knowledge-sharing initiatives.
Minimum And Preferred Qualifications
Education
Bachelor’s degree in Computer Science, Information Technology, or related fields.
Master’s degree or PhD in Computer Science or Software Engineering preferred.
Experience
8–10 years of experience in data engineering or related fields.
Strong background in programming languages like Python, Java, or Scala, T-SQL. C# experience is desirable.
Hands-on experience with big data technologies such as Spark, Hadoop, and Kafka.
Expertise in data modeling, ETL processes, and data integration workflows.
Advanced knowledge of Azure data solutions ( Azure Synapse, Datalake, Azure Synapse Analytics, Data Factory, Logic Apps)
Working knowledge of data models of ERP or CRM. ( e.g: D365, Salesforce, SAP, Oracle etc)
Expertise in Master Data Management: understanding Design Patterns, Data management and Governance principles
Experience developing Meta data driven solutions
Experience working with APIs, On-prem databases, File Systems, SharePoint.
Power BI experience is desirable
Certifications
Required
DP-600, DP-203, DP-700 (Beta), AZ-104
About Us
Argano is the first of its kind: a digital consultancy totally immersed in high-performance operations. We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth.
Argano is an equal-opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.