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.