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Location & Work Model
- Chandigarh / Tri-City Candidates: Work From Office
- Outstation Candidates: Remote / Hybrid option available
Experience: 6–10+ Years
Employment Type: Full-time
Preference will be given to candidates ready to join immediately or those with a shorter notice period.
About AcmeMinds
AcmeMinds Private Limited is a digital product engineering and technology consulting firm that partners with startups and enterprises to design, build, and scale innovative digital solutions across engineering, AI, analytics, and product development.
We are looking for a highly skilled and hands-on Senior Analytics Engineer with strong expertise in dbt, SQL, analytics data modeling, and analytics engineering workflows.
This role focuses heavily on building scalable analytics-ready datasets, designing maintainable data models, and supporting reliable reporting and business intelligence systems.
This is not a traditional backend application development role.
About the Role
As a Senior Analytics Engineer, you will own the design, development, and evolution of analytics-ready data foundations that power reporting, decision-making, experimentation, and operational insights across the organization.
This is a senior-level, high-ownership role requiring strong technical expertise, problem-solving capability, and the ability to independently design scalable analytics solutions while collaborating with analytics, engineering, product, and business stakeholders.
Candidates with strong hands-on DBT and analytics data modeling experience will be prioritized.
Key Responsibilities
Analytics Engineering & Data Modeling
- Design, build, and maintain scalable analytics-ready data models using dbt
- Develop modular, reusable, and maintainable SQL transformations
- Design scalable schemas, relationships, and analytics-friendly datasets
- Handle complex joins, table grain considerations, and dimensional modeling requirements
- Build analytics models with a strong focus on maintainability, scalability, and documentation
Data Pipelines & Transformation Workflows
- Build, maintain, and optimize analytics data pipelines and transformation workflows
- Understand upstream/downstream data dependencies and ensure reliable data flow across analytics systems
- Troubleshoot pipeline failures, schema issues, and data quality concerns in production environments
- Work closely with engineering and analytics teams to improve the reliability and performance of data workflows
Engineering Excellence
- Write clean, readable, testable, and production-grade analytics code
- Implement data quality checks, testing, freshness monitoring, and documentation
- Design reusable analytics engineering patterns and standards
- Continuously improve existing models, workflows, and analytics processes
Problem Solving & Ownership
- Independently solve ambiguous or complex analytics/data problems
- Analyze technical tradeoffs and downstream impacts of modeling decisions
- Take ownership of requirement understanding through implementation and rollout
- Communicate technical concepts clearly to both technical and non-technical stakeholders
Mandatory Skills
- 6+ years of experience in Analytics Engineering, Data Engineering, or related data-focused roles
- Strong hands-on expertise with dbt (models, tests, documentation, macros)
- Advanced SQL skills with experience working in analytical databases such as Redshift, Snowflake, BigQuery, or similar platforms
- Strong understanding of analytics engineering and dimensional data modeling concepts
- Good understanding of table grain, schema design, joins, and data relationships
- Strong experience working with analytics pipelines and transformation workflows
- Experience supporting BI/reporting workflows
- Familiarity with Git, version control, and production data environments
- Strong debugging, analytical thinking, and problem-solving capabilities
Preferred Skills
- Experience with Looker or modern BI platforms such as Tableau, Power BI, Mode, etc.
- Exposure to orchestration/workflow tools such as Airflow or similar platforms
- Experience designing scalable semantic layers or metrics models
- Exposure to data governance, lineage, or observability tooling
Senior-Level Expectations
- Ability to operate independently with minimal supervision
- Strong ownership mindset and accountability
- Ability to proactively identify gaps and drive improvements
- Comfortable handling production-level analytics and data challenges
- Strong communication and stakeholder management capability
- Ability to influence technical direction and best practices
Why Join Us
- Opportunity to work on modern analytics engineering and data initiatives
- Exposure to scalable product and analytics ecosystems
- Collaborative engineering culture with an ownership-driven environment
- Opportunity to work with global teams and high-impact business workflows
You may email your resume to with the subject line:
Senior Analytics Engineer – Your Name