Infilon Technologies - Data Engineer - Azure Data Factory

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
  

• 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