Lead Data Engineer

Lead Data Engineer

Important Information

• Experience: more than 6 years 
• Job Mode: Full-time 
• Work Mode: Hybrid 

Job Summary

• Lead the design, development and optimization of scalable data pipelines and cloud-based data platforms. 
• Lead end-to-end data engineering initiatives leveraging Snowflake, Python and modern cloud platforms to build reliable and scalable data solutions. 
• Provide technical leadership within the Data Engineering team and ensure best practices across architecture, development, testing and deployment.  

Responsibilities And Duties

• Design, build and maintain scalable data pipelines and cloud-native analytics solutions using Snowflake and Azure services. 
• Develop and optimize data ingestion, transformation and processing workflows using Python and SQL. 
• Work with business stakeholders to understand high-value problems and translate them into data engineering tasks. 
• Partner with data scientists and analysts to ensure data availability, quality and usability. 
• Conduct code reviews and enforce engineering standards to maintain high-quality deliverables. 
• Monitor and improve the performance, reliability and cost efficiency of data systems. 
• Prototype data solutions and progress them from proof-of-concept to production. 
• Ensure effective collaboration across agile ceremonies, including planning, backlog refinement and feature workshops. 

Qualifications And Skills

• Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field. 
• 6+ years of hands-on experience in data engineering, with exposure to cloud-based data solutions. 
• Strong proficiency in Python and SQL, including advanced development for ETL/ELT workloads. 
• Proven experience with Snowflake and cloud platforms, preferably Azure. 
• In-depth understanding of data modeling, structured and unstructured data, data quality and distributed data processing. 
• Ability to contribute to all stages of the solution lifecycle: design, infrastructure, development, testing, deployment and maintenance. 
• Solid understanding of cloud-native engineering principles and modern data architecture practices. 
• Excellent communication, collaboration and presentation skills for engaging with both technical and non-technical stakeholders. 

Role-Specific Requirements

• Experience with modern data stack components, orchestration and CI/CD pipelines. 
• Experience working in agile environments and participating in collaborative engineering rituals. 
• Demonstrated ability to mentor, guide and influence engineering team members. 

Technologies

• Must have: Snowflake, Python, SQL, experience with modern cloud platforms 
• Nice to have: dbt, Apache Airflow, Prefect, CI/CD tools, automated testing frameworks 

Skillset Competencies

• Designing and maintaining scalable cloud-based data architectures 
• Building and optimizing ELT/ETL pipelines 
• Performance tuning for large-scale data processing 
• Orchestrating pipelines using modern workflow tools 
• Effective collaboration within international and virtual team environments 

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

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