Important Information

• Experience: more than 8 years
• Job Mode: Full-time 
• Work Mode: Hybrid 

Job Summary

• Assemble large, complex data sets that meet business requirements.
• Plan, create, and maintain data architectures.
• Create and maintain optimal data pipeline architecture.
• Propose infrastructure for data extraction, transformation, and loading using SQL and big data technologies.
• Conduct continuous audits of data management system performance.

Responsibilities and Duties

• Create and maintain data architectures aligned with business requirements.
• Optimize data pipeline architecture and automate manual processes.
• Design infrastructure for data extraction, transformation, and loading.
• Conduct data system performance audits and address breaches or loopholes.
• Propose analytics tools for actionable insights into business performance metrics.
• Work with stakeholders to support their data infrastructure needs.
• Build strong relationships with senior client stakeholders to leverage big data technologies.

Qualifications and Skills

• BS/MS degree in Computer Science, Engineering, Information Technology, or equivalent.
• 8+ years of experience in engineering, modeling, database design, and architecture.
• Advanced SQL knowledge and experience with relational databases.
• Experience with Big Data technologies and modern data architectures.
• Familiarity with cloud services (Azure, AWS).
• Understanding of Data Science, Machine Learning, AI trends.
• Proficiency in scripting languages (Python/R, C#/Java).
• Experience with Agile delivery frameworks (Scrum, DSDM).
• Excellent English skills, both written and spoken.

Role-specific Requirements

• Experience with data pipeline and workflow management tools (e.g., Azure Data Factory, Airflow).
• Experience with Business Intelligence, Analytics, and Reporting technologies (e.g., SSAS, PowerBI, Tableau).
• Experience with MS Dynamics CRM, SharePoint, or other platforms, and data migration.
• Experience as a Data Architect, Database Administrator, Data Manager, Data Scientist, or Database Developer.
• Strong knowledge of application capabilities, integration, data design, methodologies, and industry best practices.

Technologies

• SQL and relational databases
• Big Data technologies: Apache Spark, Databricks, Kafka, Hadoop, Microsoft Data Platform
• Cloud services: Azure, AWS
• Data pipeline and workflow management tools: Azure Data Factory, Airflow
• Business Intelligence, Analytics, and Reporting technologies: SSAS, PowerBI, Tableau

Skillset Competencies

• Data architecture and data pipeline optimization
• Automating manual processes and optimizing data delivery
• Data extraction, transformation, and loading
• Data system performance auditing and improvement
• Analytics tools for business insights
• Strong communication, presentation, and negotiation skills
• Customer-centric and able to explain technical concepts to non-technical stakeholders
• Comfortable in international and virtual team contexts

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.