About the Role

We are looking for a Senior Analytics Engineer to bridge the gap between data engineering and analytics. In this role, you will design, build, and maintain scalable analytics data models that power reporting, dashboards, and advanced analytics across the organization.

You will work closely with other analytics engineers and business stakeholders to transform raw data into trusted, analytics-ready datasets. This role is ideal for someone who is deeply technical, has solid business acumen, and is passionate about data quality, modeling best practices, and analytics enablement

**.

Key Responsibilitie**

- s:Design, develop, and maintain analytics-ready datasets using modern data stack too
- lsTransform raw data into clean, well-documented, and reliable datasets for analytics and BI use cas
- esDevelop state of the art, interactive dashboar
- dsOwn the analytics layer of the data warehouse, ensuring consistency, accuracy, and performan
- cePartner with analytics engineers to define upstream data requirements and improve data ingestion pipelin
- esCollaborate with analysts and business stakeholders to translate business needs into scalable data mode
- lsOversee data quality checks, testing,



and monitoring of the existing pipelin
- esOptimise queries and models for performance and cost efficien

**cy

Requiremen**

- ts:3+ years of experience in analytics engineering, data engineering, or advanced analytics ro
- lesStrong proficiency in
- SQLHands-on experience with modern data transformation tools (e.g., Dbt or simil
- ar)Hands-on experience wi th Azure Data Factory (A DF) for orchestration and pipeline developm
- entStrong experience wi th Azure Databri cks (PySpark, Delta Lake, SQL) for data transformat
- ionExperience working wi th Azure Synapse Analyt ics or similar cloud data warehouse platfo
- rmsExperience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databri
- cksExperience working with BI tools such as Domo, Power BI, Tableau, or Loo
- kerStrong understanding of data warehousing concepts, ETL/ELT pipelines, and analytics best practi
- cesExperience supporting BI and analytics to
- olsAbility to translate complex business problems into scalable data soluti
- onsStrong communication skills and ability to work cross-functiona

lly

📌 Data Engineer (Ahmedabad)
🏢 Maruti Techlabs
📍 Ahmedabad