Azure Data Engineer
Fractal Analyticsover 2 years ago
Pune, India +3 moreSenior
Responsibilities
- Develop and maintain software and systems for end-to-end execution of large-scale client projects.
- Build scalable data engineering and technology services across the full software development lifecycle.
- Contribute to system integration, application development, data warehouse, cloud architecture, testing, and deployment activities.
- Design and build end-to-end cloud-based systems and support advanced architecture and integration approaches.
- Work with global consulting professionals across multiple projects and client engagements.
- Educate and train customers and colleagues on applications, architectures, and technology solutions.
- Help launch and support the build-out of Azure-based systems and services.
- Develop technical knowledge, solve complex business problems, and contribute to architecture discussions.
Requirements
- Bachelor’s degree in Computer Science or a related field, B.E., B.Tech., M.Tech., or equivalent.
- 6–10 years of technology experience.
- Strong experience in system integration, application development, or data warehouse projects in enterprise environments.
- Software development experience with object-oriented languages such as Python and PySpark.
- Database programming experience with SQL and knowledge of relational and dimensional modeling.
- Experience with big data technologies and analytics enabled by cloud technology.
- Mandatory expertise in Microsoft Azure, including Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Databricks, HDInsight, and ML Service.
- Good knowledge of Python and Apache Spark.
- Understanding of MLOps, Azure infrastructure, and Azure DevOps; Azure infrastructure and Azure DevOps experience are a strong plus.
- Experience across the software development lifecycle, including testing and deployment.
- Ability to contribute to cloud architecture discussions and architect advanced cloud-based solutions.
- Ability to work with global teams and manage multiple projects, with strong problem-solving, communication, and project management skills.
- Proven ability to maintain existing technical skills and develop new ones.
- Forward-thinking, self-starting approach and passion for designing, building, educating, and training.
Tech Stack
Categories
Data Engineering
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.