Job Title : Consultant - Data Engineer
Location : Hyderabad
Responsibilities : What you'll do :
Embark on a journey as a Consultant Data Engineer, where your expertise will build the future of data management. In this role, you will drive transformative data strategies that align seamlessly with our business goals. You will be at the forefront of data architecture, ensuring that our data platforms are both innovative and robust.
You'll have the opportunity :
- Provide consulting on enterprise data architecture and engineering solutions
- Develop and architect complex data transformation pipelines
- Develop data strategy roadmaps aligned with business objectives
- Guide organizations in modernizing their data platforms
- Lead solution building for large-scale data initiatives
- Mentor teams and build organizational capabilities
- Evaluate and recommend new technologies and methodologies
- Lead efforts in data governance and compliance
Who are you :
Consultant Data Engineer with 10+ years of experience in data engineering to provide expert guidance to meet end-to-end delivery of data management services. Expertise in enterprise architecture and system designExperience with data mesh architectureComprehensive knowledge of modern data platforms and technologiesExpert-level understanding of cloud platforms (AWS, Snowflake)Advanced knowledge of data security, data governance and compliance frameworksExpertise in data strategy development and executionStrong understanding of industry trends and best practices in data spaceStrong experience with enterprise integration patternsAgile / Scrum methodology experienceGood to Have
Experience with regulatory compliance frameworksKnowledge of advanced analytics platformsFamiliarity with cost optimization strategiesKnowledge of industry-specific regulations and standardsExperience of data visualization tools (Power BI)Qualifications :
Engineering or Equivalent
Soft Skills
High ownership and accountability for delivery quality, performance, and reliability.Clear stakeholder communication with options, trade-offs, and data-backed recommendations.Mentorship mindset, collaborative, pragmatic problem-solving and strong documentation.