▷ [24/10/2025] Data Engineer

Job purpose:
Manage and create design schema, SQL query tuning, and code review.
Who you are:
- Min 3+ years of professional experience in the field of data engineering with knowledge of the data platform and DWH development
- Min.

2 years of hands-on experience in SSAS tabular models
- Designed Data Ingestion and Orchestration Pipelines with Kafka and Python
- Design and develop DBT models and build the data pipeline processes to perform processes as per DBT scripting
- Experience with analytical tools such as SQL (Snowflake), ETL/ELT (Azure Data Factory, APIs), Cloud (Azure Functions & Storage), and BI tools (Power BI, ThoughtSpot)
- Proficient in SSAS DAX queries
- Experience in a role performing data warehouse and analytics solution design and development using a variety of techniques
- Experience in Data Lake Concepts with Structured, Semi-Structured, and Unstructured Data
- Independently analyze and correct issues in real-time, providing end-to-end problem resolution.
- Refine and automate regular processes, track issues, and document changes.
- High level of independence and responsibility
- Excellent teamwork and communication skills
What will excite you:
- Complete ownership and independence of execution
- Experiment, fail, and learn.

(with a condition - 'Fail Fast')
- High pedigree, high-caliber team
- Contribute to every area of our business.

Have a real impact on your work.
Location: Ahmedabad - Work from Office