ShyftLabs is hiring a
Lead Data Engineer, Web3 - India

Summary

We are seeking an experienced Lead Data Engineer to join our dynamic team at ShyftLabs, a data product company. The role focuses on data strategy, management, and collaboration across functional areas. The ideal candidate should have a degree in a related field, 7+ years of experience in data management, 3+ years as a lead engineer, strong communication skills, and technical knowledge in BI tools.

Requirements

• Bachelor’s or Advanced degree in Information Systems, Information Management, Engineering, or related field
• 7+ years of experience in data management, data warehousing and handling data engineering
• 3+ years of experience as a lead engineer managing a set of engineers including hiring and performance evaluations
• 3+ years managing big data technology stack and restful APIs
• Strong knowledge of designing data pipelines and understanding details around orchestration, integration, data transformations
• Excellent communication skills, both verbal and written, and the ability to build trust-based relationships with business partners
• Technical knowledge in BI tools such as MicroStrategy, Looker
• Proven record of handling, managing, collaborating and delivering data products on time and meeting quality standards

Responsibilities

• Lead the data strategy and own the vision and roadmap of data products
• Collaborate closely with the Data Engineering and Product team to execute on the set roadmap of data ingestion, integration, and data transformation
• Work cross-functionally with enterprise-wide stakeholders including Analytics, Data Science, FP&A, Accounting, merchandising, pricing teams
• Build a continuous monitoring process and tools to track data management, data quality, and execute cleaning activities
• Track the overall data transformation initiative and provide feedback or suggestions from a risk management perspective
• Design, provide training, and mentor/coach other team members
• Work with stakeholders to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood
• Ensure the safe storage and transmission of data in line with privacy and compliance laws, data regulations, and internal company policies