Infilon Technologies - Data Engineer - Azure Data Factory

Job Description

Key Responsibilities Design and develop client-ready dashboards using Bold BI, Power BI, Apache Superset, or similar BI tools. Build, optimize, and maintain data models, ETL pipelines, and database systems using SQL Server, ClickHouse, and MongoDB. Develop data automation scripts and pipelines in Python for data transformation, cleaning, and integration. Utilize Azure Data Factory and Databricks to create and manage scalable data integration and analytics workflows. Implement and maintain data warehousing solutions on Azure Cloud, ensuring performance, security, and scalability. Design and optimize data architectures to meet analytical and reporting requirements. Collaborate with business teams to translate business requirements into data-driven dashboards and insights. Work with REST APIs and other data sources to ingest and manage diverse datasets. Use Git for version control and effective collaboration within the team. Perform advanced data handling using Linux commands, RegEx, and XML when needed. Continuously explore new data tools, technologies, and frameworks to improve data processes and delivery. Required Technical Expertise Proven experience developing interactive dashboards with Bold BI, Power BI, Superset, or equivalent tools. Strong proficiency in SQL for data querying, modeling, and optimization. Hands-on experience with SQL Server, ClickHouse, and MongoDB. Proficient in Python for building data pipelines and automation scripts. Working experience with Azure Data Factory and Databricks for data integration and analytics. Solid understanding of data warehousing concepts, ETL processes, and Azure cloud ecosystems. Familiarity with Git for version control and collaborative development. Knowledge of REST APIs for data integration with external sources. Strong analytical and problem-solving skills with a data-first mindset. Comfortable with Linux command-line, RegEx, and XML for data manipulation. Curious, adaptable, and eager to learn new data technologies and frameworks. What's In It For You Opportunity to work autonomously while being part of a dynamic team. Tackling a wide range of challenges daily, across multiple customers, and continuously growing and expanding your expertise. Eternal respect from your colleagues as you improve the system (ref:hirist.tech)