Data Engineer

Job purpose:

Manage and create design schema, SQL query tuning, and code review.

Who you are:

• Min 4+ 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
• Proven track record of developing and maintaining ETL pipelines at scale.
• Deep understanding of Data Modeling & Data Warehouse structures.
• 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

What will excite us:

• 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
• Experience with Credit Risk Analysis Domain

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: Gurugram - Work from Office