Remote Lead Data Engineer (Remote - India)

Description:

• The position is for a Lead Data Engineer based in India, posted by Jobgether on behalf of Integrate.
• The role involves architecting and evolving a large cloud-based data lake to facilitate intelligent decision-making at scale.
• Responsibilities include building and optimizing data infrastructure for analytics, AI, and advanced reporting.
• The Lead Data Engineer will collaborate with product, engineering, and analytics teams to drive innovative data solutions and mentor others on data best practices.
• Key accountabilities include designing scalable data workflows and ETL pipelines, developing and maintaining cloud-based data warehouses using Snowflake, and collaborating with various teams to define data needs.
• The role also involves implementing data models for reporting and analytics, optimizing complex queries, creating dashboards for real-time analytics, and maintaining a deep understanding of business logic.
• The position requires contributing to long-term data architecture planning and mentoring junior engineers.

Requirements:

• Candidates must have 9+ years of experience in data engineering with a strong foundation in SQL, Python, and cloud-based data systems.
• Advanced knowledge of data warehouse architecture, ETL pipelines, and BI frameworks is required.
• Hands-on experience with Snowflake and a strong understanding of MongoDB/PostgreSQL is necessary.
• Familiarity with Spark/Scala, MLFlow, and AWS services such as S3 and EC2 is preferred.
• Proven ability to design scalable data models and optimize workflows for analytics and AI applications is essential.
• Strong API development skills and experience with metadata, data integration, and OLTP/OLAP systems are required.
• Excellent communication and collaboration skills are necessary for cross-functional partnerships.
• Leadership qualities to mentor junior engineers and drive data strategy are important.
• A Bachelor’s or advanced degree in Computer Science, Statistics, or a related technical field is required.
• Bonus points for experience in leading large-scale data projects and integrating data from multiple sources.

Benefits:

• The position offers a remote-first work environment with opportunities for global collaboration.
• Competitive compensation is tailored to the candidate's experience and role.
• A flexible work schedule is provided to support work-life balance.
• Comprehensive health insurance coverage is included.
• There are career development opportunities and internal mentorship available.
• Employees are included in a high-growth, innovative tech environment.
• The company has been recognized as one of the Best Tech Startups in Arizona from 2018 to 2021.