TECHNICAL LEAD L1
Job description:
Job Description Brief Job Description
Expr: 5-8 yrs (B3)
Number of Positions: 1
Skills:
- Expertise on PySpark, Python
- Knowledge Azure platform and Databricks
- MLOps
- Basic knowledge on deployment ͏ ͏ Solution Design-Facilitate creation of application solution designs for a specific module under the guidance of the Project Manager, ensuring alignment with business requirements and technical standards.
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Mandatory Skills: Data Engineering Full Stack .
Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Profile description:
Job Description – PySpark / Azure Databricks Engineer Role: PySpark / Azure Databricks Engineer
Experience: 5+ years preferred
Location: As per business requirement
Job Summary We are looking for a skilled PySpark / Azure Databricks Engineer with strong Python development experience and good knowledge of the Azure data ecosystem. The candidate should have exposure to MLOps and deployment activities and be comfortable working with data processing and cloud-based solutions.
Key Responsibilities
- Develop and maintain data processing solutions using PySpark and Python.
- Work with Azure platform and Azure Databricks for data engineering and processing workloads.
- Develop, optimize, and troubleshoot PySpark-based data pipelines.
- Support MLOps workflows, including model lifecycle and operationalization activities.
- Assist with deployment of data/ML solutions across environments.
- Collaborate with data engineering, data science, and cloud teams to deliver scalable solutions.
- Troubleshoot performance and deployment-related issues. Required Skills
- Strong hands-on expertise in PySpark.
- Strong programming knowledge in Python.
- Good knowledge of Microsoft Azure.
- Hands-on knowledge of Azure Databricks.
- Understanding of MLOps concepts and practices.
- Basic knowledge of deployment processes.