Sr. Data Engineer - Toro Technology Center India

Job Purpose: 

Responsible for facilitating the capture, ingestion and transformation of data that provides data assets to drive business decisions.

Job Duties & Responsibilities*: 

• Lead the design and development of scalable and efficient data pipelines, focusing on data integration, transformation, and loading (ETL) processes.
• Assist in Architecting and maintaining data warehouses, data lakes, and data marts on cloud-based platforms, with a primary focus on Snowflake.
• Mentor and provide technical guidance to junior data engineers, fostering a culture of continuous learning and improvement.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and ensure data solutions align with business objectives.
• Leverage your deep understanding of the business to identify opportunities where data and analytics can help solve complex problems and drive strategic initiatives.
• Implement data modeling, transformations, and orchestration using dbt to create a unified and reliable data layer.
• Oversee the management and optimization of existing data pipelines, ensuring data quality, performance, and reliability.
• Develop and maintain documentation for data engineering processes, standards, and best practices.
• Proactively identify and address data engineering bottlenecks, performance issues, and data quality challenges.
• Stay current with emerging technologies and industry trends in data engineering and analytics.

Job Qualifications: 

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 8+ years of experience in data engineering, with a proven track record of designing and implementing complex data solutions.
• Strong expertise in data warehousing and cloud-based data platforms, with a focus on Snowflake.
• Proficiency in ETL tools, particularly Fivetran, and experience with data orchestration and transformation using dbt.
• In-depth knowledge of SQL and database design principles.
• Programming skills in Python, Java, or similar languages.
• Experience with version control systems (e.g., Git, Dev Ops) and Agile methodologies.
• Excellent problem-solving skills and the ability to lead and mentor a team.
• Strong communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Preferred Qualifications:

• Experience with data governance, data security, and compliance best practices.
• Familiarity with data visualization tools like Domo or Power BI.
• Knowledge of distributed computing and big data technologies (e.g., Hadoop, Spark).
• Certification in cloud platforms like AWS, Azure, or Google Cloud.