Senior Data Engineer

Strong experience in designing and developing ADF/Talend pipelines and SQL Stored procedures including complex data flows, transformations, and orchestration. 

Hands‑on exposure to a wide range of Azure tools and services, with the ability to integrate them seamlessly into data solutions. 

Deep understanding of Snowflake architecture and features, including schema design, stored procedures, views, performance tuning, and Snowflake best practices. 

Proficient in Data Warehousing concepts, Data Modelling techniques, and writing optimized SQL queries across various databases. 

Skilled in Data Quality processes, including profiling, validation rules, checks, and automated monitoring. 

Experience implementing end‑to‑end ETL/ELT pipelines, including orchestration, scheduling, and monitoring. 

Good understanding of CI/CD pipelines and DevOps practices, with experience using Git, Jenkins, JFrog, and related tools. 

Working knowledge of Python and Databricks, with exposure to notebooks, transformations, and collaborative workflows. 

Strong capability in reverse engineering existing ETL processes, creating detailed Source‑to‑Target mappings and high‑quality technical documentation. 

Solid grasp of solution architecture and design principles for building scalable data platforms. 

Experience working in Agile environments, following Scrum ceremonies and iterative delivery practices. 

Proactive in introducing innovative ideas and automation opportunities to improve efficiency and reduce manual effort.