SCOPE OF WORK:

Own the end-to-end analytics stack on Azureingest and model data (ADF/Synapse/Databricks), build governed semantic models, and deliver high-impact Power BI dashboards with rock-solid performance and standardized KPIs.

ROLE & RESPONSIBILITIES:

Data Engineering (Azure)

- Design, develop, and maintain ELT/ETL pipelines in Azure Data Factory (parameterized pipelines, datasets, dataflows).
- Perform advanced extraction and transformation from structured & unstructured sources (SQL Server, MySQL, MongoDB/NoSQL, files/APIs).
- Write and optimize T-SQL (queries, UDFs, views, indexes, CTEs, procs, triggers).
- Build and maintain dimensional models (star/snowflake) and data-warehouse layers; apply proper partitioning and indexing.
- Work with large datasets using Azure Synapse, Databricks, PySpark for processing and analysis.
- Participate in code reviews, troubleshooting, and performance tuning across data solutions.
- Collaborate with cross-functional teams to produce model-ready tables for dashboards and ad-hoc analysis.

Power BI (Semantic Layer & Dashboards)

- Design, develop, and deliver interactive Power BI datasets and reports with robust DAX and Power Query (M).
- Translate business requirements into scalable semantic models, KPIs, and effective visualizations; apply UI/UX best practices and data storytelling.
- Handle large/complex datasets with incremental refresh,



composite/aggregation models, and VertiPaq optimizations for fast load times.
- Communicate insights clearly to non-technical stakeholders; proactively improve existing reporting solutions.
- Automate report operations with Power Automate; create Paginated Reports using Power BI Report Builder where needed.

Governance, Security & Operations

- Enforce dataset/report governance: certified datasets, RLS/CLS, workspace policies, usage monitoring.
- Maintain lineage, documentation, and SLA/SLO awareness; drive consistent metric definitions across teams.
- Support CI/CD (Git/ALM Toolkit/Tabular Editor/DAX Studio), gateway management, and environment promotion (Dev/Test/Prod).

COMPETENCIES:

- Strong Azure expertise: ADF, Synapse, Databricks, ADLS; solid T-SQL and PySpark/Python.
- Proven dimensional modelling, schema design, indexing, and performance tuning across data and BI layers
- Ability to convert ambiguous business asks into reliable datasets and impactful dashboards.
- Excellent communication, presentation, and data-storytelling skills; self-driven and solution oriented.

WHAT WE ARE LOOKING FOR:

- Experience: 7-10 years total in Data Engineering.
- Qualification: BTech/MTech
- Prior Experience/Background: Hands-on Synapse/Databricks experience mandatory

📌 Data Architect (Gurugram)
🏢 Dr Lal Pathlabs
📍 Gurugram