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

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