Analytics Engineer
Collinson Group (company site, opens in a new tab)MumbaiHybridDirect career pageEst. 15–28 LPA
Posted on 11 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Collinson Group
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Collinson Group you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain AWS cloud-based low-code data pipelines and data warehouse/lake solutions to enable efficient reporting and data analysis.
- Lead end-to-end data engineering including data modeling, automation, performance optimization, and governance for scalable business insights.
- Collaborate with stakeholders and cross-functional teams to define data requirements, drive data initiatives and communicate data strategy progress effectively.
Minimum Requirements
- Extensive experience with AWS cloud data platforms and delivering large-scale data engineering solutions in a cloud environment.
- Hands-on expertise in ETL/ELT processes, data warehousing, data lakes, data governance, and modern data architectures (Data Lake, Warehouse, Lakehouse, Mesh).
- Experience managing and leading a small team of data engineers.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Proven ability to manage full lifecycle data pipeline implementations with a strong focus on automation and performance in an Agile environment (Scrum/Kanban).
- Strong communicator capable of bridging technical and business stakeholders, with experience in influencing data-driven initiatives.
- Experienced in architecting cost-effective, scalable data solutions with knowledge of CI/CD practices and data quality monitoring.