Senior 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.