Senior Data Engineer

You will be responsible for managing and creating design schema, SQL query tuning, and conducting code reviews. With a minimum of 5 years of professional experience in data engineering, you should have a strong understanding of data platform and DWH development. Additionally, you should possess at least 2 years of hands-on experience in SSAS tabular models and have designed Data Ingestion and Orchestration Pipelines using Kafka-Snowflake and Python. Your role will involve designing and developing DBT models, as well as building data pipeline processes in accordance with DBT scripting. You should be familiar with analytical tools such as SQL, ETL/ELT (Azure Data Factory, APIs), Cloud services (Azure Functions & Storage), and BI tools (Power BI, Thought Spot). Proficiency in SSAS DAX queries is required, along with experience in data warehouse and analytics solution design using various techniques. Experience in Data Lake Concepts with Structured, Semi-Structured, and Unstructured Data will be beneficial. You will be expected to independently analyze and resolve issues in real-time, refining and automating regular processes while tracking issues and documenting changes. The role demands a high level of independence and responsibility, as well as excellent teamwork and communication skills. You will have the opportunity to take complete ownership and independence in your execution, allowing you to experiment, fail, and learn with a "Fail Fast" approach. Working with a high pedigree, high-caliber team, you will contribute to every area of the business, making a real impact on your work. This position is based in Ahmedabad and requires working from the office.,