Senior Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate with internal clients, data architects, and business stakeholders to create, build, and optimize comprehensive data pipelines and high-performance Tableau solutions.

• Design, develop, and implement robust data pipelines, dimensional data models, and enterprise-level Tableau dashboards.

• Construct, develop, and sustain high-performance ETL/ELT pipelines utilizing SQL and Python.

• Architect scalable star and snowflake schemas along with data marts that are optimized for Tableau extracts, live connections, and custom SQL queries.

• Create, publish, and maintain Tableau dashboards, intricate LOD calculations, and Row-Level Security architectures.

• Convert complex business requirements into data modeling specifications and advanced visual capabilities.

• Manage Tableau Server/Cloud administration, including enterprise folder structures, user permissions, and scheduling for extract refreshes.

• Act as a subject matter expert in business data assets, data quality governance, and performance enhancement.

• Provide direction and technical support on data pipeline CI/CD processes, improvements, technical documentation, and ongoing operational assistance.

• Deliver insights to inform and guide stakeholders, including executive leadership.

⛳️ Requirements

• Bachelor's degree.

• 6+ years of pertinent data engineering experience in delivering scalable data infrastructure and high-quality BI solutions.

• Expert-level proficiency in Tableau development, including the creation of enterprise data sources, dashboard design, complex LOD calculations, Row-Level Security, and performance optimization.

• Advanced SQL query writing capabilities.

• Hands-on experience with cloud data warehouses such as Snowflake, AIDP, or Oracle.

• Strong technical skills in Python for data manipulation, ETL automation, and orchestration tools like dbt and Apache Airflow.

• Excellent written, verbal, interpersonal, and communication skills.

• Familiarity with AI/ML concepts such as predictive modeling and automated forecasting, or experience in integrating ML models into analytics pipelines.

• Ability to multitask, collaborate, prioritize, solve complex structural challenges, and thrive in a fast-paced environment.

• Capability to work cross-functionally and interact effectively with all levels of the organization.

🏝️ Benefits

• Comprehensive health and wellness programs.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements.

• Collaborative and inclusive work culture.