Data Engineer

Job Description

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 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: Gurugram - Work from Office