Data Engineer

Important Information

• Experience: More than 5 years
• Job Mode: Full-time
• Work Mode: Hybrid

Job Summary

• Serve as a Senior Data Engineer, leading the design, development, and optimization of data architecture and pipelines.
• Leverage expertise in Snowflake to scale data operations and enable advanced analytics for business outcomes.
• Design and implement scalable and efficient data architecture using Snowflake as a core component.
• Develop and maintain ETL/ELT pipelines to ensure seamless data integration and flow from multiple sources into Snowflake.
• Monitor and optimize the performance of Snowflake queries and pipelines to enhance efficiency and reliability.
• Create robust data models and schemas tailored to business analytics and reporting needs.
• Collaborate closely with data scientists, analysts, and business stakeholders to deliver data solutions aligned with requirements.
• Implement data governance best practices for quality, security, and compliance.
• Mentor junior data engineers and contribute to skill development and knowledge sharing across the team.

Responsibilities and Duties

• Lead the design and architecture of scalable data solutions with Snowflake as a core component.
• Develop and optimize ETL/ELT pipelines to ensure smooth and reliable data flow.
• Monitor and enhance Snowflake performance, including query tuning and pipeline optimization.
• Create and maintain data models and schemas to meet analytics and reporting needs.
• Collaborate with cross-functional teams to understand and deliver data requirements.
• Implement best practices for data governance, security, and compliance.
• Provide mentorship and guidance to junior team members.
• Troubleshoot complex data issues and propose effective solutions.

Qualifications and Skills

• Experience: 5+ years as a Data Engineer with a focus on Snowflake and related technologies.
• Snowflake Expertise: Proven experience with schema design, performance optimization, and integration.
• ETL/ELT Tools: Proficiency in tools like Apache Airflow, dbt, Talend, or similar.
• Programming Skills: Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Data Modeling: Expertise in data modeling techniques and tools.
• Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and their associated data services.
• Problem-Solving: Strong analytical and troubleshooting skills for resolving complex data challenges.
• Communication: Excellent verbal and written communication skills to bridge technical concepts with business stakeholders.

Preferred Qualifications

• Certifications: Snowflake or other relevant certifications.
• BI Tools: Experience with Tableau, Power BI, Looker, or similar tools.
• Big Data Technologies: Familiarity with technologies like Hadoop, Spark, etc.

Technologies

• Data Tools: Snowflake, Apache Airflow, dbt, Talend
• Programming Languages: SQL, Python, Java
• Cloud Platforms: AWS, Azure, GCP
• BI Tools: Tableau, Power BI, Looker
• Big Data: Hadoop, Spark

Skillset Competencies

• Advanced Snowflake expertise, including schema design and performance tuning.
• Proficiency in ETL/ELT pipeline development and optimization.
• Strong programming skills in SQL and Python or Java.
• Expertise in data modeling and governance practices.
• Effective collaboration with cross-functional teams and stakeholders.
• Mentorship and leadership capabilities to foster team growth.
• Advanced troubleshooting and problem-solving for complex data issues.

About Encora

• Encora is a trusted partner for digital engineering and modernization, working with some of the world’s leading enterprises and digital-native companies. With over 9,000 experts in 47+ offices worldwide, Encora offers expertise in areas such as Product Engineering, Cloud Services, Data & Analytics, AI & LLM Engineering, and more. At Encora, hiring is based on skills and qualifications, embracing diversity and inclusion regardless of age, gender, nationality, or background.