BI Engineer

Associate – Data & AI Practice

Level: Associate

Experience: 3 – 6 Years

Tool Stack: SQL · RDBMS knowledge · Tableau ·

Work Mode: Hands-On | Independent

ROLE OVERVIEW

We are seeking a motivated Associate with strong hands-on experience in SQL, RDBMS knowledge, and Tableau. It’s a plus to have exposure to the practical implementation of AI technologies, including any process improvement or automation implementations. The candidate must be self-sufficient and able to interact directly with business stakeholders with minimal supervision.

KEY RESPONSIBILITIES

● Write advanced SQL queries, support data pipeline architecture, and apply RDBMS concepts.

● Create and maintain Tableau dashboards and reports for business stakeholders.

● Build and optimize data models in Snowflake, including tables, views, streams, and tasks.

● Detect data quality issues, edge cases, and process gaps; document them and escalate proactively.

● Work independently with stakeholders to capture requirements, share findings, and drive outcomes.

● Contribute to AI solutions and Automations using related frameworks.

REQUIRED SKILLS

● SQL – Advanced; complex queries, performance tuning (mandatory), and data modelling.

● Tableau – Hands-on dashboard development, calculated fields, and data blending (mandatory)

● Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices, with version control via GitHub or an equivalent tool.

● Ability to work independently with cross-functional stakeholders

NON-NEGOTIABLE

● Hands-on technical experience is mandatory — profiles focused only on concepts or tool-consumption will not be considered

Senior Associate – Data & AI Practice

Level: Senior Associate

Experience: 6 – 9 Years

Tool Stack: SQL · RDBMS knowledge · Tableau · ETL/ Data Pipeline architecture

Work Mode: Hands-On | Stakeholder-Facing

ROLE OVERVIEW

We are seeking a driven Associate with strong hands-on experience in SQL, RDBMS knowledge, and Tableau. It’s a plus to have exposure to the practical implementation of AI technologies, including any process improvement or automation implementations. The candidate must be self-sufficient and able to interact directly with business stakeholders with minimal supervision.

KEY RESPONSIBILITIES

● Own end-to-end BI and analytics solutions, from requirements through delivery.

● Lead Tableau development, including complex calculated fields, blended data sources, and performance-tuned dashboards.

● Detect data quality issues, edge cases, and process gaps; document them and escalate proactively.

● Work independently with stakeholders to capture requirements, communicate findings, and drive outcomes.

● Architect and optimize Snowflake data models, pipelines, and cost-efficient query patterns.

● Serve as the primary technical point of contact for business and client stakeholders.

● Mentor Associates and support internal knowledge sharing and best practices.

● Contribute to AI solutions and Automations using related frameworks.

REQUIRED SKILLS

● SQL – Expert level; complex queries, query optimization, performance tuning, stored procedures, and data modelling.

● Tableau – Advanced; enterprise-grade dashboards and Tableau Server/Cloud.

● Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.

● Strong stakeholder management and communication skills

Good to have:

● Any Prior knowledge in Forecasting Model building or model maintenance

● Had prior expertise in AI solutions and Automations using Python or any AI related frameworks.

NON-NEGOTIABLE

● Must be fully hands-on — no exceptions at this level

● Must demonstrate independent stakeholder engagement capability

Manager – Data & AI Practice

Level: Manager

Experience: 9.5 – 13 Years

Tool Stack: SQL · Tableau · ETL/ Data Pipeline architecture · AI

Work Mode: 70% Hands-On | 30% Team Leadership

ROLE OVERVIEW

We are looking for a manager who combines strong hands-on technical capability with the ability to lead small, high-performing teams. The ideal candidate has deep expertise in SQL, Tableau, and ETL/ Data Pipeline architecture, along with proven AI hands-on/SME experience. They must also have the executive communication presence to drive alignment with senior stakeholders and clients.

KEY RESPONSIBILITIES

● Lead the design and delivery of end-to-end data and AI solutions across client engagements.

● Manage a small team of Associates and Senior Associates—assign work, review deliverables, and enable growth.

● Stay hands-on across SQL, Tableau, Python, and Gen AI, actively contributing to solution development (70% technical).

● Drive Gen AI and Agentic AI initiatives, including LangChain architectures, RAG frameworks, and LLM-integrated workflows.

● Own client communication, stakeholder alignment, and executive-level reporting.

● Identify process gaps, define SOPs, and ensure delivery quality and consistency.

● Keep up with technology advancements and translate emerging trends into practical recommendations.

REQUIRED SKILLS

● SQL – Expert level: complex queries, data modelling, ETL/ Data Pipeline architecture, performance tuning (mandatory)

● Tableau – Advanced; ability to guide team and review enterprise-grade builds (mandatory)

● Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.

● Team management – Experience leading small teams (2–6 members)

● Communication – Ability to explain complex technical concepts to non-technical stakeholders

● Learnability – Proven ability to adopt and apply emerging technologies

● AI – Hands-on delivery and team guidance in:

● Expertise in AI solutions and Automations using Python or any AI related frameworks.

● LLM integration and prompt engineering

Good to have:

● Any Prior knowledge in Forecasting Model building or model maintenance

NON-NEGOTIABLE

● Minimum 70% hands-on contribution expected — management-only profiles will not be considered

● Must have built AI solutions independently, not just supervised others doing so

● Strong communication and articulation skills are essential for client-facing interactions